Relevant bibliographies by topics / Proportion inference

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Proportion inference'

Author: Grafiati
Published: 21 December 2024

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Journal articles on the topic "Proportion inference"

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Xu, XingZhong, and Fang Liu. "Statistical inference on mixing proportion." Science in China Series A: Mathematics 51, no. 9 (2008): 1593–608. http://dx.doi.org/10.1007/s11425-008-0016-0.

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Subbiah, M., and V. Rajeswaran. "proportion: A comprehensive R package for inference on single Binomial proportion and Bayesian computations." SoftwareX 6 (2017): 36–41. http://dx.doi.org/10.1016/j.softx.2017.01.001.

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Mielke, Paul W., and Kenneth J. Berry. "Nonasymptotic Inferences Based on Cochran's Q Test." Perceptual and Motor Skills 81, no. 1 (1995): 319–22. http://dx.doi.org/10.2466/pms.1995.81.1.319.

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A nonasymptotic inference procedure for Cochran's Q test for the equality of matched proportions is presented. The nonasymptotic method provides improvement over the asymptotic method when there is a small number of subjects and/or a relatively small proportion of successes for subjects.
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Garthwaite, Paul H., and John R. Crawford. "Inference for a binomial proportion in the presence of ties." Journal of Applied Statistics 38, no. 9 (2011): 1915–34. http://dx.doi.org/10.1080/02664763.2010.537649.

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Mohamed, Nuri Eltabit. "Approximate confidence intervals for the Population Proportion based on linear model." Al-Mukhtar Journal of Basic Sciences 21, no. 2 (2024): 58–62. http://dx.doi.org/10.54172/rtn9cg93.

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When the linear model errors are non-normal, one might be interested in making inference concerning proportion. The goal of this article is to construct approximate confidence intervals for the proportion founded on the supposed linear model which cover a true value of a proportion that close to a specific nominal value of the level of significant.
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Frey, Jesse. "Bayesian Inference on a Proportion Believed to be a Simple Fraction." American Statistician 61, no. 3 (2007): 201–6. http://dx.doi.org/10.1198/000313007x222866.

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Nandram, Balgobin, Dilli Bhatta, Dhiman Bhadra, and Gang Shen. "Bayesian predictive inference of a finite population proportion under selection bias." Statistical Methodology 11 (March 2013): 1–21. http://dx.doi.org/10.1016/j.stamet.2012.08.003.

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Khan, K. Daniel, and J. A. A. Vargas-Guzmán. "Facies Proportions From the Inference of Nonlinear Conditional Beta-Field Parameters." SPE Journal 18, no. 06 (2013): 1033–42. http://dx.doi.org/10.2118/163147-pa.

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Summary Conditional beta distributions are proposed with examples to evaluate the probability of intercepting specific proportions of target rocks in well planning. Geological facies or rock-type proportions are random variables pk(x) at each location, x. This paper recalls and further demonstrates that facies proportions can be modeled by local beta distributions. However, the highly variable shapes of the conditional probability-density functions (PDFs) for the random variables in the field lead to complex nonstationarity and nonlinearity issues. A practical and robust approach is to transfo
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Hilbig, Benjamin E., and Rüdiger F. Pohl. "Recognizing Users of the Recognition Heuristic." Experimental Psychology 55, no. 6 (2008): 394–401. http://dx.doi.org/10.1027/1618-3169.55.6.394.

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The recognition heuristic is hypothesized to be a frugal inference strategy assuming that inferences are based on the recognition cue alone. This assumption, however, has been questioned by existing research. At the same time most studies rely on the proportion of choices consistent with the heuristic as a measure of its use which may not be fully appropriate. In this study, we propose an index to identify true users of the heuristic contrasting them to decision makers who incorporate further knowledge beyond recognition. The properties and the applicability of the proposed index are investiga
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Rahardja, Dewi, and Yan D. Zhao. "Bayesian inference of a binomial proportion using one-sample misclassified binary data." Model Assisted Statistics and Applications 7, no. 1 (2012): 17–22. http://dx.doi.org/10.3233/mas-2011-0197.

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Dissertations / Theses on the topic "Proportion inference"

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Kim, Hyun Seok (John). "Diagnosing examinees' attributes-mastery using the Bayesian inference for binomial proportion: a new method for cognitive diagnostic assessment." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41144.

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Purpose of this study was to propose a simple and effective method for cognitive diagnosis assessment (CDA) without heavy computational demand using Bayesian inference for binomial proportion (BIBP). In real data studies, BIBP was applied to a test data using two different item designs: four and ten attributes. Also, the BIBP method was compared with DINA and LCDM in the diagnosis result using the same four-attribute data set. There were slight differences in the attribute mastery probability estimate among the three model (DINA, LCDM, BIBP), which could result in different attribute mastery p
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Li, Qiuju. "Statistical inference for joint modelling of longitudinal and survival data." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/statistical-inference-for-joint-modelling-of-longitudinal-and-survival-data(65e644f3-d26f-47c0-bbe1-a51d01ddc1b9).html.

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In longitudinal studies, data collected within a subject or cluster are somewhat correlated by their very nature and special cares are needed to account for such correlation in the analysis of data. Under the framework of longitudinal studies, three topics are being discussed in this thesis. In chapter 2, the joint modelling of multivariate longitudinal process consisting of different types of outcomes are discussed. In the large cohort study of UK north Stafforshire osteoarthritis project, longitudinal trivariate outcomes of continuous, binary and ordinary data are observed at baseline, year
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ZHAO, SHUHONG. "STATISTICAL INFERENCE ON BINOMIAL PROPORTIONS." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1115834351.

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Simonnet, Titouan. "Apprentissage et réseaux de neurones en tomographie par diffraction de rayons X. Application à l'identification minéralogique." Electronic Thesis or Diss., Orléans, 2024. http://www.theses.fr/2024ORLE1033.

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La compréhension du comportement chimique et mécanique des matériaux compactés (par exemple sol, sous-sol, matériaux ouvragés) nécessite de se baser sur une description quantitative de structuration du matériau, et en particulier de la nature des différentes phases minéralogiques et de leur relation spatiale. Or, les matériaux naturels sont composés de nombreux minéraux de petite taille, fréquemment mixés à petite échelle. Les avancées récentes en tomographie de diffraction des rayons X sur source synchrotron (à différencier de la tomographie en contraste de phase) permettent maintenant d'obte
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Liu, Guoyuan. "Comparison of prior distributions for bayesian inference for small proportions." Thesis, McGill University, 2011. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=96917.

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Often, Bayesian analyses for epidemiological applications use objective prior distributions. These prior distributions are chosen with the goal of allowing the posterior distribution to be determined by the observed data alone. While this is achieved in most situations, it is not the case for Bayesian estimation of a small proportion. Such a situation might arise, for example, when estimating the prevalence of a rare disease. Several candidate objective prior distributions have been proposed for a Binomial proportion, including the Uniform distribution and Jeffrey's distribution. Each of these
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LEAL, ALTURO Olivia Lizeth. "Nonnested hypothesis testing inference in regression models for rates and proportions." Universidade Federal de Pernambuco, 2017. https://repositorio.ufpe.br/handle/123456789/24573.

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Submitted by Alice Araujo (alice.caraujo@ufpe.br) on 2018-05-07T21:17:28Z No. of bitstreams: 1 DISSERTAÇÃO Olivia Lizeth Leal Alturo.pdf: 2450256 bytes, checksum: 8d29b676eaffcb3c5bc1b78a8611b9f8 (MD5)<br>Made available in DSpace on 2018-05-07T21:17:28Z (GMT). No. of bitstreams: 1 DISSERTAÇÃO Olivia Lizeth Leal Alturo.pdf: 2450256 bytes, checksum: 8d29b676eaffcb3c5bc1b78a8611b9f8 (MD5) Previous issue date: 2017-02-16<br>Existem diferentes modelos de regressão que podem ser usados para modelar taxas, proporções e outras variáveis respostas que assumem valores no intervalo unitário padrão, (0,
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Ainsworth, Holly Fiona. "Bayesian inference for stochastic kinetic models using data on proportions of cell death." Thesis, University of Newcastle upon Tyne, 2014. http://hdl.handle.net/10443/2499.

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The PolyQ model is a large stochastic kinetic model that describes protein aggregation within human cells as they undergo ageing. The presence of protein aggregates in cells is a known feature in many age-related diseases, such as Huntington's. Experimental data are available consisting of the proportions of cell death over time. This thesis is motivated by the need to make inference for the rate parameters of the PolyQ model. Ideally observations would be obtained on all chemical species, observed continuously in time. More realistically, it would be hoped that partial observations were avail
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Xiao, Yongling 1972. "Bootstrap-based inference for Cox's proportional hazards analyses of clustered censored survival data." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=98523.

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Background. Clustering of observations occurs frequently in epidemiological and clinical studies of time-to-event outcomes. However, only a few papers addressed the challenge of accounting for clustering while analyzing right-censored survival data. I propose two bootstrap-based approaches to correct standard errors of Cox's proportional hazards (PH) model estimates for clustering, and validate the approaches in simulations.<br>Methods. Both bootstrap-based approaches involve 2 stages of resampling the original data. The two methods share the same procedure at the first stage but employ differ
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Silva, Ana Roberta dos Santos 1989. "Modelos de regressão beta retangular heteroscedásticos aumentados em zeros e uns." [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/306787.

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Orientador: Caio Lucidius Naberezny Azevedo<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matemática Estatística e Computação Científica<br>Made available in DSpace on 2018-08-26T19:30:15Z (GMT). No. of bitstreams: 1 Silva_AnaRobertadosSantos_M.pdf: 4052475 bytes, checksum: 08fb6f3f7b4ed838df4eea2dbcf06a29 (MD5) Previous issue date: 2015<br>Resumo: Neste trabalho desenvolvemos a distribuição beta retangular aumentada em zero e um, bem como um correspondente modelo de regressão beta retangular aumentado em zero e um para analisar dados limitados-aumentados (repre
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Nourmohammadi, Mohammad. "Statistical inference with randomized nomination sampling." Elsevier B.V, 2014. http://hdl.handle.net/1993/30150.

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In this dissertation, we develop several new inference procedures that are based on randomized nomination sampling (RNS). The first problem we consider is that of constructing distribution-free confidence intervals for quantiles for finite populations. The required algorithms for computing coverage probabilities of the proposed confidence intervals are presented. The second problem we address is that of constructing nonparametric confidence intervals for infinite populations. We describe the procedures for constructing confidence intervals and compare the constructed confidence intervals in
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Books on the topic "Proportion inference"

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Consortium for Mathematics and Its Applications (U.S.), Chedd-Angier Production Company, American Statistical Association, and Annenberg Media, eds. Against all odds--inside statistics: Disc 3, programs 9-12. Annenberg Media, 2011.

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Inference for proportions [videorecording]. 1989.

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Gill, Jeff, and Jonathan Homola. Issues in Polling Methodologies. Edited by Lonna Rae Atkeson and R. Michael Alvarez. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190213299.013.11.

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This chapter presents issues and complications in statistical inference and uncertainty assessment using public opinion and polling data. It emphasizes the methodologically appropriate treatment of polling results as binomial and multinomial outcomes, and highlights methodological issues with correctly specifying and explaining the margin of error. The chapter also examines the log-ratio transformation of compositional data such as proportions of candidate support as one possible approach for the difficult analysis of such information. The deeply flawed Null Hypothesis Significance Testing (NH
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Hankin, David, Michael S. Mohr, and Kenneth B. Newman. Sampling Theory. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198815792.001.0001.

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We present a rigorous but understandable introduction to the field of sampling theory for ecologists and natural resource scientists. Sampling theory concerns itself with development of procedures for random selection of a subset of units, a sample, from a larger finite population, and with how to best use sample data to make scientifically and statistically sound inferences about the population as a whole. The inferences fall into two broad categories: (a) estimation of simple descriptive population parameters, such as means, totals, or proportions, for variables of interest, and (b) estimati
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Golub, Jonathan. Survival Analysis. Edited by Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.003.0023.

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This article provides a discussion of survival analysis that presents another way to incorporate temporal information into analysis in ways that give advantages similar to those from using time series. It describes the main choices researchers face when conducting survival analysis and offers a set of methodological steps that should become standard practice. After introducing the basic terminology, it shows that there is little to lose and much to gain by employing Cox models instead of parametric models. Cox models are superior to parametric models in three main respects: they provide more r
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McCleary, Richard, David McDowall, and Bradley J. Bartos. Statistical Conclusion Validity. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190661557.003.0006.

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Chapter 6 addresses the sub-category of internal validity defined by Shadish et al., as statistical conclusion validity, or “validity of inferences about the correlation (covariance) between treatment and outcome.” The common threats to statistical conclusion validity can arise, or become plausible through either model misspecification or through hypothesis testing. The risk of a serious model misspecification is inversely proportional to the length of the time series, for example, and so is the risk of mistating the Type I and Type II error rates. Threats to statistical conclusion validity ar
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Book chapters on the topic "Proportion inference"

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Myers, Chelsea. "Inference About a Population Proportion." In Project-Based R Companion to Introductory Statistics. Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9780429292002-ch09.

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Cowles, Mary Kathryn. "Inference for a Population Proportion." In Springer Texts in Statistics. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5696-4_4.

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Best, Lisa, and Claire Goggin. "The Science of Seeing Science: Examining the Visuality Hypothesis." In Diagrammatic Representation and Inference. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86062-2_34.

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AbstractFundamental disciplinary differences may be traceable to the use of visual representations, with researchers in the physical and life sciences relying more heavily on visuality. Our goal was to examine how inscriptions are used by scientists in different disciplines. We analyzed 2,467 articles from journals in biology, criminology and criminal justice, gerontology, library and information science, medicine, psychology, and sociology. Proportion of page space dedicated to graphs, tables, and non-graph illustrations was calculated. A Visuality Index was defined as the proportion of page space dedicated to visual depictions of data and non-data information. An ANOVA indicated a statistically significant difference between disciplines, interaction between inscription type and discipline, with articles published in biology journals dedicating more page space to graphs. The significant overlap in inscription use and visuality indicates imperfect disciplinary demarcation, suggesting similar methodological and data analytic practices within a discipline and between subdisciplines.
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Salinas Ruíz, Josafhat, Osval Antonio Montesinos López, Gabriela Hernández Ramírez, and Jose Crossa Hiriart. "Generalized Linear Mixed Models for Proportions and Percentages." In Generalized Linear Mixed Models with Applications in Agriculture and Biology. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32800-8_6.

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AbstractIn this chapter, we will review generalized linear mixed models (GLMMs) whose response can be either a proportion or a percentage. For proportion and percentage data, we refer to data whose expected value is between 0 and 1 or between 0 and 100. For the remainder of this book, we will refer to this type of data only in terms of proportion, knowing that it is possible to change it to a percentage scale only when multiplying it by 100. Proportions can be classified into two types: discrete and continuous. Discrete proportions arise when the unit of observation consists of N distinct entities, of which individuals have the attribute of interest “y. ”N must be a nonnegative integer and “y” must be a positive integer; here, y ≤ N. Therefore, the observed proportion must be a discrete fraction, which can take values $$ \frac{0}{N},\frac{1}{N},\cdots, \frac{N}{N} $$ 0 N , 1 N , ⋯ , N N . A binomial distribution is the sum of a series of m independent binary trials (i.e., trials with only two possible outcomes: success or failure), where all trials have the same probability of success. For binary and binomial distributions, the target of inference is the value of the parameter such that $$ 0\le E\left(\frac{y}{N}\right)=\pi \le 1 $$ 0 ≤ E y N = π ≤ 1 . Continuous proportions (ratios) arise when the researcher measures responses such as the fraction of the area of a leaf infested with a fungus, the proportion of damaged cloth in a square meter, the fraction of a contaminated area, and so on. As with the binomial parameter π, the continuous rates (fractions) take values between 0 and 1, but, unlike the binomial, the continuous proportions do not result from a set of Bernoulli tests. Instead, the beta distribution is most often used when the response variable is in continuous proportions. In the following sections, we will first address issues in modeling when we have binary and binomial data. When the response variable is binomial, we have the option of using a linearization method (pseudo-likelihood (PL)) or the Laplace or quadrature integral approximation (Stroup 2012).
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Manalo, Emmanuel, and Laura Ohmes. "The Use of Diagrams in Planning for Report Writing." In Diagrammatic Representation and Inference. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15146-0_23.

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AbstractIn this study, we investigated 32 undergraduate university students’ use of diagrams in planning to write two coursework reports. For both reports, the students were asked to submit a diagrammatic plan for what they were going to write. Prior to their first plan, no instruction was provided about how to use diagrams for planning. However, prior to the second plan, the students were provided instruction on the use of sketchnoting, which is one method for creating visual notes and organizing ideas. For the first plan, only 31% actually submitted a diagram plan, with the majority submitting a text-based plan. However, for the second plan, the proportion who submitted a diagram plan increased to 66%, but they also reported experiencing more difficulty in creating their plans compared to those who submitted text-based plans. The students’ plans and reports were scored for various quality features, analysis of which revealed that, for the second report, diagram plans had a better logical structure than text plans. More importantly, second reports created with diagram plans were also found to have a better logical structure than those created with text plans. The findings indicate that many students require instruction to be able to create diagrammatic plans, but that creating such plans can be helpful in structuring their written work.
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Holmes, William H., and William C. Rinaman. "Inference for Proportions." In Statistical Literacy for Clinical Practitioners. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12550-3_6.

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Pagano, Marcello, Kimberlee Gauvreau, and Heather Mattie. "Inference on Proportions." In Principles of Biostatistics, 3rd ed. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9780429340512-14.

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Hahs-Vaughn, Debbie L., and Richard G. Lomax. "Inferences About Proportions." In Statistical Concepts. Routledge, 2020. http://dx.doi.org/10.4324/9780429261268-8.

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Connor, Jason T., and Peter B. Imrey. "Proportions: Inferences and Comparisons." In Methods and Applications of Statistics in Clinical Trials. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118596333.ch34.

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Seber, George A. F. "Proportions, Inferences, and Comparisons." In International Encyclopedia of Statistical Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_463.

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Conference papers on the topic "Proportion inference"

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Center, Julian L., Kevin H. Knuth, Ariel Caticha, Julian L. Center, Adom Giffin, and Carlos C. Rodríguez. "Regression for Proportion Data." In BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING. AIP, 2007. http://dx.doi.org/10.1063/1.2821266.

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Yoshida, Haruka, and Manabu Kuroki. "Proportion-based Sensitivity Analysis of Uncontrolled Confounding Bias in Causal Inference." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/789.

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Uncontrolled confounding bias causes a spurious relationship between an exposure variable and an outcome variable and precludes reliable evaluation of the causal effect from observed data.Thus, it is important to observe a sufficient set of confounders to reliably evaluate the causal effect.However, there is no statistical method for judging whether an available set of covariates is sufficient to derive a reliable estimator for the causal effect.To address this problem, we focus on the fact that the mean squared error (MSE) of the outcome variable with respect to the average causal risk can be
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Simonnet, Titouan, Mame Diarra Fall, Bruno Galerne, Francis Claret, and Sylvain Grangeon. "Proportion Inference Using Deep Neural Networks. Applications to X-Ray Diffraction and Hyperspectral Imaging." In 2023 31st European Signal Processing Conference (EUSIPCO). IEEE, 2023. http://dx.doi.org/10.23919/eusipco58844.2023.10289954.

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Ma, Weijing, Fan Wang, Jingyi Zhang, and Qiang Jin. "Overload Risk Evaluation of DNs with High Proportion EVs Based on Adaptive Net-based Fuzzy Inference System." In 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2020. http://dx.doi.org/10.1109/ei250167.2020.9346905.

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Seeaed, Mushtak, and Al-Hakam Hamdan. "BIMification of Stone Walls for Maintenance Management by Utilizing Linked Data." In 4th International Conference on Architectural & Civil Engineering Sciences. Cihan University-Erbil, 2023. http://dx.doi.org/10.24086/icace2022/paper.879.

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A large proportion of the data created during the inspection and assessment of stone facades and their damages is recorded in formats that are not machine-readable and thus cannot be further processed or managed digitally. Consequently, this increases the risk of data loss and incorrect information due to human misinterpretation. Therefore, a Multimodel-based approach has been developed in which stone facades of existing buildings are digitized as IFC-model by using proxy entities and linked with web ontologies for semantic enrichment. Additionally, detected anomalies in the stone structure ar
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Schockaert, Steven, Yazmin Ibanez-Garcia, and Victor Gutierrez-Basulto. "A Description Logic for Analogical Reasoning." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/281.

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Ontologies formalise how the concepts from a given domain are interrelated. Despite their clear potential as a backbone for explainable AI, existing ontologies tend to be highly incomplete, which acts as a significant barrier to their more widespread adoption. To mitigate this issue, we present a mechanism to infer plausible missing knowledge, which relies on reasoning by analogy. To the best of our knowledge, this is the first paper that studies analogical reasoning within the setting of description logic ontologies. After showing that the standard formalisation of analogical proportion has i
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Abdul rabu, Siti nazleen, Baharuddin Aris, and Zaidatun Tasir. "LEVEL OF STUDENTS' CRITICAL THINKING ENGAGEMENT IN AN ONLINE INSTRUCTIONAL MULTIMEDIA DEVELOPMENT SCENARIO-BASED DISCUSSION FORUM." In eLSE 2017. Carol I National Defence University Publishing House, 2017. http://dx.doi.org/10.12753/2066-026x-17-089.

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The present study identified students’ level of critical thinking engagement (CTE) via a scaffolded asynchronous online discussion forum (AODF). It involved 31 fourth year students studying Instructional Multimedia Development course at the faculty of education of a Malaysian public university. Observations were made based on three major problem solving scenario-based tasks (PSST), which involved adapting instructional design theories and models, project management, and multimedia design fundamentals. These assessments covered a period of 10 weeks and supported by instructor scaffolding. Using
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Pore, M., G. Gilfeather, and L. Levy. "Risk Assessment in Signature Analysis." In ISTFA 1996. ASM International, 1996. http://dx.doi.org/10.31399/asm.cp.istfa1996p0177.

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Abstract Hie failure analysis lab has analyzed 'n' devices that all have the same failure signature (a failure mode plus other observable characteristics), and found that they all failed from the same mechanism. We wish to identify this mechanism with the failure signature so that future parts with the same signature may be assigned a mechanism without analysis, but by inference from historical data, thus saving lab time and resources. What is the risk of error? A probability model is presented that allows the analyst to calculate a confidence interval for the proportion of future devices with
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Zhang, Yuanxing, Yangbin Zhang, Kaigui Bian, and Xiaoming Li. "Towards Reading Comprehension for Long Documents." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/638.

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Machine reading comprehension has gained attention from both industry and academia. It is a very challenging task that involves various domains such as language comprehension, knowledge inference, summarization, etc. Previous studies mainly focus on reading comprehension on short paragraphs, and these approaches fail to perform well on the documents. In this paper, we propose a hierarchical match attention model to instruct the machine to extract answers from a specific short span of passages for the long document reading comprehension (LDRC) task. The model takes advantages from hierarchical-
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Prade, Henri, and Gilles Richard. "Analogical Proportions: Why They Are Useful in AI." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/621.

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This paper presents a survey of researches in analogical reasoning whose building block are analogical proportions which are statements of the form “a is to b as c is to d”. They have been developed in the last twenty years within an Artificial Intelligence perspective. After discussing their formal modeling with the associated inference mechanism, the paper reports the main results obtained in various AI domains ranging from computational linguistics to classification, including image processing, I.Q. tests, case based reasoning, preference learning, and formal concepts analysis. The last sec
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Reports on the topic "Proportion inference"

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Beland, Anne, and Robert J. Mislevy. Probability-Based Inference in a Domain of Proportional Reasoning Tasks. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada247304.

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Rodríguez, Francisco. Cleaning Up the Kitchen Sink: On the Consequences of the Linearity Assumption for Cross-Country Growth Empirics. Inter-American Development Bank, 2006. http://dx.doi.org/10.18235/0011322.

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Existing work in growth empirics either assumes linearity of the growth function or attempts to capture non-linearities by the addition of a small number of quadratic or multiplicative interaction terms. Under a more generalized failure of linearity or if the functional form taken by the non-linearity is not known ex ante, such an approach is inadequate and will lead to biased and inconsistent OLS and instrumental variables estimators. This paper uses non-parametric and semiparametric methods of estimation to evaluate the relevance of strong non-linearities in commonly used growth data sets. O
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