Bibliografias temáticas / York regression

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Literatura científica selecionada sobre o tema "York regression"

Autor: Grafiati

Publicado: 7 de junho de 2025

Última modificação: 2 de agosto de 2025

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Artigos de revistas sobre o assunto "York regression"

Abdulkadiroglu, Atila, Joshua D. Angrist, Yusuke Narita, and Parag Pathak. "Breaking Ties: Regression Discontinuity Design Meets Market Design." Econometrica 90, no. 1 (2022): 117–51. http://dx.doi.org/10.3982/ecta17125.

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Many schools in large urban districts have more applicants than seats. Centralized school assignment algorithms ration seats at over‐subscribed schools using randomly assigned lottery numbers, non‐lottery tie‐breakers like test scores, or both. The New York City public high school match illustrates the latter, using test scores and other criteria to rank applicants at the city's screened schools, combined with lottery tie‐breaking at the rest. We show how to identify causal effects of school attendance in such settings. Our approach generalizes regression discontinuity methods to allow for mul

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Romano, Maddalena, Maxwell S. Siegel, and Hui Yan (Terri) Chan. "Creating a Predictive Model for Pavement Deterioration using Geographic Weighted Regression." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 40 (2018): 166–75. http://dx.doi.org/10.1177/0361198118788430.

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This paper represents an effort by the New York City Department of Transportation (NYCDOT) to develop, by means of geographically weighted regression (GWR), an empirical pavement deterioration model for the five boroughs of New York City. Evaluation of probabilistic and deterministic models from existing literature, as well as statistical modeling techniques and applications, were examined to inform model selection. A model using GWR was selected as the preferred methodology. Validation tests demonstrated an adjusted R2 of .808 and a standard error (σ) representing 4.8% of the mean. Emphasis i

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Shashank, N. "A Decade of Taxation in New York: Trends and Sustainability Impacts." Journal of Research and Review in Purchasing and Supply Management 2, no. 1 (2025): 60–65. https://doi.org/10.5281/zenodo.14998883.

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This research paper explores the comprehensive study of taxation trends in the state of New York from 2014 to 2023. And their effect on sustainability. This study mainly focuses on understanding the relationship between New York taxes and the state’s economic performances, Taxes are very important for the nation its imposed by the government and it’s levied on the individuals and the business. Each and every state had its own tax and their own tax mechanism that influences the economic and environmental policies. New York in the U.S is one of the economically significant states

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Roberts, Keith J., Brian A. Colle, Nickitas Georgas, and Stephan B. Munch. "A Regression-Based Approach for Cool-Season Storm Surge Predictions along the New York–New Jersey Coast." Journal of Applied Meteorology and Climatology 54, no. 8 (2015): 1773–91. http://dx.doi.org/10.1175/jamc-d-14-0314.1.

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AbstractA multilinear regression (MLR) approach is developed to predict 3-hourly storm surge during the cool-season months (1 October–31 March 31) between 1979 and 2012 using two different atmospheric reanalysis datasets and water-level observations at three stations along the New York–New Jersey coast (Atlantic City, New Jersey; the Battery in New York City; and Montauk Point, New York). The predictors of the MLR are specified to represent prolonged surface wind stress and a surface sea level pressure minimum for a boxed region near each station. The regression underpredicts relatively large

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Bartley, Katherine F., Donna L. Eisenhower, Tiffany G. Harris, and Karen K. Lee. "Accelerometer and Survey Data on Patterns of Physical Inactivity in New York City and the United States." Public Health Reports 134, no. 3 (2019): 293–99. http://dx.doi.org/10.1177/0033354919841855.

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Objective: Inactive lifestyles contribute to health problems and premature death and are influenced by the physical environment. The primary objective of this study was to quantify patterns of physical inactivity in New York City and the United States by combining data from surveys and accelerometers. Methods: We used Poisson regression models and self-reported survey data on physical activity and other demographic characteristics to predict accelerometer-measured inactivity in New York City and the United States among adults aged ≥18. National data came from the 2003-2004 and 2005-2006 Nation

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Uematsu, Yoshimasa, and Shinya Tanaka. "High‐dimensional macroeconomic forecasting and variable selection via penalized regression." Econometrics Journal 22, no. 1 (2019): 34–56. http://dx.doi.org/10.1111/ectj.12117.

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Summary This study examines high-dimensional forecasting and variable selection via folded-concave penalized regressions. The penalized regression approach leads to sparse estimates of the regression coefficients and allows the dimensionality of the model to be much larger than the sample size. First, we discuss the theoretical aspects of a penalized regression in a time series setting. Specifically, we show the oracle inequality with ultra-high-dimensional time-dependent regressors. Then we show the validity of the penalized regression using two empirical applications. First, we forecast quar

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Dhanoa, M. S., and R. Sanderson. "Comment on “The structural relationship: regression in biology”." Canadian Journal of Zoology 88, no. 8 (2010): 821–23. http://dx.doi.org/10.1139/z10-050.

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Supplementary information relevant to structural relationship regression in biology as discussed by McArdle (1988; Can. J. Zool. 66(11): 2329–2339) is presented. Although McArdle presented both linear and multiple linear regression models, we limit our comment to the linear model only. McArdle’s eq. 2 is corrected. Deming’s alternative form of the maximum likelihood (ML) solution (Deming 1943; Statistical adjustment of data. John Wiley and Sons, Inc., New York) is introduced. In the ML solution, the ratio of the mean measurement variances of the y and x variables is assumed constant over the r

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Rubio, Lihki, and Keyla Alba. "Forecasting Selected Colombian Shares Using a Hybrid ARIMA-SVR Model." Mathematics 10, no. 13 (2022): 2181. http://dx.doi.org/10.3390/math10132181.

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Forecasting future values of Colombian companies traded on the New York Stock Exchange is a daily challenge for investors, due to these stocks’ high volatility. There are several forecasting models for forecasting time series data, such as the autoregressive integrated moving average (ARIMA) model, which has been considered the most-used regression model in time series prediction for the last four decades, although the ARIMA model cannot estimate non-linear regression behavior caused by high volatility in the time series. In addition, the support vector regression (SVR) model is a pioneering m

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Chapman, Kathryn P., Lydia Ross, and Sherman Dorn. "Opting Out in the Empire State: A Geographic Analysis of Opting Out in New York, Spring 2015 & 2016." Teachers College Record: The Voice of Scholarship in Education 122, no. 2 (2020): 1–24. http://dx.doi.org/10.1177/016146812012200206.

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Background Recently, states have experienced widely varying participation in annual assessments, with the opt-out movement concentrated in New York State and Colorado. Geographic variation between and within states suggests that the diffusion of opting out is multilayered and an appropriate phenomenon to explore geographic dimensions of social movements in education. Purpose The study analyzes the geographic patterns of opting out from state assessments in school districts in New York State. Research Design We conducted linear regression and geographically weighted regression on district-level

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Plitnick, Thomas, Antonios Marsellos, and Katerina Tsakiri. "Time Series Regression for Forecasting Flood Events in Schenectady, New York." Geosciences 8, no. 9 (2018): 317. http://dx.doi.org/10.3390/geosciences8090317.

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Floods typically occur due to ice jams in the winter or extended periods of precipitation in the spring and summer seasons. An increase in the rate of water discharge in the river coincides with a flood event. This research combines the time series decomposition and the time series regression model for the flood prediction in Mohawk River at Schenectady, New York. The time series decomposition has been applied to separate the different frequencies in hydrogeological and climatic data. The time series data have been decomposed into the long-term, seasonal-term, and short-term components using t

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Mais fontes

Teses / dissertações sobre o assunto "York regression"

Quinn, Shawn. "Congestion Tax in New York City: Progressive or Regressive Tax?" Thesis, Boston College, 2014. http://hdl.handle.net/2345/3870.

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Thesis advisor: Richard Tresch My thesis topic is an analysis of the effects that a congestion tax in mid-town Manhattan would have on drivers who normally drive there. A congestion charge was proposed in 2008 in an attempt to lessen traffic in Manhattan below 80th street, but it was struck down in the New York State Assembly. My thesis will look into the data the Assembly used to make its decision to reject the charge. I will then use this and other data to calculate my own elasticity and find hypothetical effects of a congestion tax in the area on drivers. Then I will formulate my own pro

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Eliasson, Martin, Khawar Malik, and Benjamin Österlund. "A Value Relevant Fundamental Investment Strategy : The use of weighted fundamental signals to improve predictability." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-145255.

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The aim of this study is to investigate the possibility to improve the investment model defined in Piotroski (2000) and the subsequent research carried out on this model. Our model builds further upon the original fundamental score put forth by Piotroski. This further developed model is tested in two different contexts; firstly, a weighted fundamental score is developed that is updated every year in order to control for any changes in the predictive ability of fundamental signals over time. Secondly, the behavior of this score is analyzed in context of recession and growth cycles of the macro

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Seavey, Jennifer Ruth. "Piping plover (Charadrius melodius) conservation on the barrier islands of New York: Habitat quality and implications in a changing climate." 2009. https://scholarworks.umass.edu/dissertations/AAI3380017.

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Habitat loss is the leading cause of species extinction. Protecting and managing habitat quality is vital to an organism’s persistence, and essential to endangered species recovery. We conducted an investigation of habitat quality and potential impacts from climate change to piping plovers (Charadrius melodius) breeding on the barrier island ecosystem of New York, during 2003-2005. Our first step in this analysis was to examined the relationship between two common measures of habitat quality: density and productivity (Chapter 1). We used both central and limiting tendency data analysis to find

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Shao, Qing. "Estimating the number of clusters in regression clustering /." 2004. http://wwwlib.umi.com/cr/yorku/fullcit?pNQ99236.

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Thesis (Ph.D.)--York University, 2004. Graduate Programme in Mathematics & Statistics. Typescript. Includes bibliographical references (leaves 114-124). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://wwwlib.umi.com/cr/yorku/fullcit?pNQ99236

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Livros sobre o assunto "York regression"

Workshop on Tree Biomass Regression Functions and their Contribution to the Error of Forest Inventory Estimates (1986 Syracuse, N.Y.). Estimating tree biomass regressions and their error: Proceedings of the Workshop on Tree Biomass Regression Functions and their Contribution to the Error of Forest Inventory Estimates, May 26-30, 1986, Syracuse, New York. U.S. Dept. of Agriculture, Forest Service, Northeastern Forest Experiment Station, 1987.

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Sharpe, Matthew. Jamestown. Harvest Book/Harcourt, 2008.

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Lepucki, Edan. California. Abacus, 2015.

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Ferguson, Niall. The great degeneration: How institutions decay and economies die. Penguin Books, 2012.

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Kondō, Makoto. Men'eki ryōhō ni chikazukuna: Nagaiki surunara men'ekiryoku yori teikōryoku. Aki Shobō, 2013.

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Strasser, Todd. Fallout. Scholastic Inc., 2015.

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Brooks, Terry. The gypsy morph. Thorndike Press, 2008.

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Brooks, Terry. The Gypsy Morph. Random House Publishing Group, 2008.

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Alvin, Toffler. Wei lai de chong ji: Future shock. Zhong xin chu ban she, 2006.

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Atwood, Margaret Eleanor. The Year of the Flood: A novel. Nan A. Talese/Doubleday, 2009.

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Capítulos de livros sobre o assunto "York regression"

Huang, Hejingyu. "Prediction of New York taxi tip behavior based on machine learning classification and regression methods." In Proceedings of the 2023 2nd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2023). Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-344-3_75.

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Ramani, S., Anish Ghiya, Pusuluri Sidhartha Aravind, Marimuthu Karuppiah, and Danilo Pelusi. "Predicting New York Taxi Trip Duration Based on Regression Analysis Using ML and Time Series Forecasting Using DL." In Intelligent Sustainable Systems. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2894-9_2.

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Tucker, William H. "The Bell Curve, Then and Now." In Palgrave Studies in the Theory and History of Psychology. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-41614-9_1.

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AbstractIn the fall of 1994, the national obsession with the murder trial of a legendary football player was temporarily interrupted by a controversy over a book—not some sensationalized biography of a celebrity but a chart-filled 845-page tome, co-authored by a Harvard research psychologist and a policy wonk at the conservative think tank, the American Enterprise Institute. Despite its more than 100 pages of appendices on logistic regression and other technical, statistical issues, The Bell Curve: Intelligence and Class Structure in American Life became an instantaneous cause célèbre, providi

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"3. The New Art of the Theatre' in New York and Toronto." In Regression and Apocalypse. University of Toronto Press, 1989. http://dx.doi.org/10.3138/9781442679153-006.

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"Landscape Influences on Stream Habitats and Biological Assemblages." In Landscape Influences on Stream Habitats and Biological Assemblages, edited by James E. McKenna, Richard P. McDonald, Chris Castiglione, Sandy S. Morrison, Kurt P. Kowalski, and Dora R. Passino-Reader. American Fisheries Society, 2006. http://dx.doi.org/10.47886/9781888569766.ch26.

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Abstract.—We describe a methodology for developing species–habitat models using available fish and stream habitat data from New York State, focusing on the Genesee basin. Electrofishing data from the New York Department of Environmental Conservation were standardized and used for model development and testing. Four types of predictive models (multiple linear regression, stepwise multiple linear regression, linear discriminant analysis, and neural network) were developed and compared for 11 fish species. Predictive models used as many as 25 habitat variables and explained 3

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Wutchiett, David, and A. W. Logue. "Predictors of Student Reenrollment and Graduation During the COVID-19 Pandemic." In Building Resiliency in Higher Education. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-5483-4.ch020.

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The COVID-19 pandemic decreased college enrollment and disrupted academic progress, particularly among disadvantaged students and institutions. Just before the start of the pandemic in spring 2020, 31,511 undergraduate students attending colleges of The City University of New York responded to a survey detailing their circumstances. Lasso regression followed by mixed-effects logistic regression modeling were used to identify predictors of (1) fall 2020 reenrollment, (2) associate's-degree graduation or transfer to a bachelor's-degree program by associate's-degree students by fall 2022, and (3)

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M. Sutton, Aja, and Zack W. Almquist. "Small Area Estimation for Demographic Analysis." In Recent Trends in Demographic Data [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.1001842.

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In this chapter we will introduce recent developments in the application of small area estimation (SAE) such as combining new statistical methods such as multilevel regression and poststratification (MRP) and neighborhood spatial smoothing models (e.g. a modified Besag-York-Mollié, or BYM2), and consider recent applications for demographic processes such as mortality or migration estimation at local levels. We will discuss recent methodological developments and important applications of SAE such as the United Nations COVID-19 national and subnational mortality estimates. Last, we will provide

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Cui, Wanting, and Joseph Finkelstein. "Using EHR Data to Identify Social Determinants of Health Affecting Disparities in Cancer Survival." In MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation. IOS Press, 2022. http://dx.doi.org/10.3233/shti220224.

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The aim of this pilot study was to identify social determinants of health (SDH) that affect disparities in cancer survival. A limited dataset was generated by querying electronic medical records (EHR) from an academic medical center in New York City between January 2003 and November 2020. Socio-demographic characteristics that affected survival in 22,096 cancer patients were analyzed using descriptive statistics and logistic regression analyses. Two subsets of adult patients were identified: patients who were deceased less than 1 year after diagnosis and patients who survived over 5 years afte

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Nguyen, Trang, Barbara A. Dennison, Wei Fan, Changning Xu, and Guthrie S. Birkhead. "Variation in Formula Supplementation of Breastfed Newborn Infants in New York Hospitals." In Breastfeeding: Support, Challenges, and Benefits. American Academy of Pediatrics, 2018. http://dx.doi.org/10.1542/9781610022873-variation.

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OBJECTIVES We examined the variation between 126 New York hospitals in formula supplementation among breastfed infants after adjusting for socioeconomic, maternal, and infant factors and stratifying by level of perinatal care. METHODS We used 2014 birth certificate data for 160 911 breastfed infants to calculate hospital-specific formula supplementation percentages by using multivariable hierarchical logistic regression models. RESULTS Formula supplementation percentages varied widely among hospitals, from 2.3% to 98.3%, and was lower among level 1 hospitals (18.2%) than higher-level hospitals

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Özay, Erkin. "Rust Belt Cosmopolitanism." In Buffalo at the Crossroads. Cornell University Press, 2020. http://dx.doi.org/10.7591/cornell/9781501749766.003.0012.

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This chapter begins with a background on the demolition of Frank Lloyd Wright's Larkin building in 1950 which proved ominous for Buffalo. It sketches Buffalo's impending socioeconomic decline by citing several landmark events from the decade, such as the relocation of the prominent Technical High School from the black East Side to the white West Side in 1954. It also follows five decades of decline that halved Buffalo's population and hastened its transformation into a rust belt cornerstone. The chapter focuses on Buffalo in the present time, which looks to refugee resettlement as a means to r

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Trabalhos de conferências sobre o assunto "York regression"

Li, Yixian, Limin Sun, and Wei Zhang. "Structural response reconstruction using inclinometer and velocimeter." In IABSE Congress, New York, New York 2019: The Evolving Metropolis. International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/newyork.2019.1977.

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This paper proposes a structural dynamic response reconstruction algorithm using inclinometer and velocimeter, combining in-situ measured data with finite element model. Using a small number of inclination and velocity data, the dynamic deflection, rotation, and strain at any position of a structure can be estimated. Firstly, static structural deformation estimation method is introduced as the base. The key content is to solve an underdetermined static equation using partial least square regression and calculate equivalent nodal force. By rewriting dynamic balance equation into state

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Abdelmaksoud, Ahmed M., Tracy C. Becker, and Georgios P. Balomenos. "Statistical Analysis of Bridge Management System Inspection Data." In IABSE Congress, New York, New York 2019: The Evolving Metropolis. International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/newyork.2019.0897.

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Bridge inspection is essential for sustaining safe and well-performing transportation networks. The Ministry of Transportation of Ontario (MTO) bi-yearly inspects over 2800 bridges in Ontario, Canada. Then assigns each bridge a Bridge Condition Index (BCI) representing its performance level and required rehabilitation. As this is a time and resources consuming practice, this study explores the BCI trends which can allow a better control on inspection and maintenance scheduling. First, statistical analysis is conducted to identify the correlation of the bridge

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Yan, Yuqi. "Influencing Factors of Housing Price in New York-analysis: Based on Excel Multi-regression Model." In The International Conference on Big Data Economy and Digital Management. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0011362000003440.

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Hammerich, Linda, Thomas Davis, Tibor Keler, Andres M. Salazar, and Joshua D. Brody. "Abstract A012: Combining in situ vaccination with immune checkpoint blockade induces long-term regression of lymphoma tumors." In Abstracts: Second CRI-CIMT-EATI-AACR International Cancer Immunotherapy Conference: Translating Science into Survival; September 25-28, 2016; New York, NY. American Association for Cancer Research, 2016. http://dx.doi.org/10.1158/2326-6066.imm2016-a012.

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Henry, Jake Y., Frederick Arce, Burkhard Becher, Karl S. Peggs, and Sergio A. Quezada. "Abstract A127: Innate crosstalk between ILC and interstitial macrophages promotes lung cancer regression in response to IL-12 therapy." In Abstracts: CRI-CIMT-EATI-AACR Inaugural International Cancer Immunotherapy Conference: Translating Science into Survival; September 16-19, 2015; New York, NY. American Association for Cancer Research, 2016. http://dx.doi.org/10.1158/2326-6074.cricimteatiaacr15-a127.

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Guerriero, Jennifer L., Alaba Sotayo, Holly Ponichtera, et al. "Abstract B038: Class IIa HDAC inhibition promotes an antitumor macrophage phenotype that induces breast tumor regression and inhibits metastasis." In Abstracts: Second CRI-CIMT-EATI-AACR International Cancer Immunotherapy Conference: Translating Science into Survival; September 25-28, 2016; New York, NY. American Association for Cancer Research, 2016. http://dx.doi.org/10.1158/2326-6066.imm2016-b038.

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Khan, Rabia Munsaf, Bahram Salehi, Milad Niroumand-Jadidi, and Masoud Mahdianpari. "Quantification and Mapping of Water Clarity for Freshwater Lakes Using Sentinel-2 Data and Random Forest Regression Model: Application on Finger Lakes, New York." In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2023. http://dx.doi.org/10.1109/igarss52108.2023.10283059.

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Xin, Haojia, Shihan Liu, and Tingwei Li. "A multilogarithm linear regression traff ic congestion prediction model based on R language New York City's five asministrative districts (mainly in urban main roads and highways)." In 2020 International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE). IEEE, 2020. http://dx.doi.org/10.1109/icbase51474.2020.00066.

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Rocha, Leonardo H., Daniel Welter, and Denio Duarte. "Modelagem Probabilística de Tópicos: Uma Comparação Empírica." In Escola Regional de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/erbd.2021.17237.

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Abordagens probabilísticas de tópicos são ferramentas para descobrir e explorar estruturas temáticas escondidas em coleções de textos. Dada uma coleção de documentos, a tarefa de extrair os tópicos consiste em criar um vocabulário a partir da coleção, verificar a probabilidade de cada palavra pertencer a um documento da coleção. Em seguida, baseado no número de tópicos desejado, a probabilidade de cada palavra estar associada a um determinado tópico é contabilizada. Assim, um tópico é um conjunto de palavras ordenadas pela probabilidade de estar associada ao tópico. Várias abordagens são encon

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O'Hara, Alex P., and Robert D. Jacobi. "STRAIN LOCALIZATION CONTROLS ON FRACTURE INTENSIFICATION IN THE ORDOVICIAN UTICA GROUP AND SCHENECTADY FORMATION IN NEW YORK STATE: QUANTIFYING FRACTURE FREQUENCY VARIATIONS USING LINEAR PIECEWISE REGRESSION AND THE AKAIKE INFORMATION CRITERION." In 53rd Annual GSA Northeastern Section Meeting - 2018. Geological Society of America, 2018. http://dx.doi.org/10.1130/abs/2018ne-309612.

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