Thematische Bibliographien / Hidden statistics

Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „Hidden statistics“

Autor: Grafiati
Veröffentlicht am 30. Juni 2021
Zuletzt aktualisiert am 29. Juli 2025

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Zeitschriftenartikel zum Thema "Hidden statistics"

1

Flajolet, Philippe, Wojciech Szpankowski, and Brigitte Vallée. "Hidden word statistics." Journal of the ACM 53, no. 1 (2006): 147–83. http://dx.doi.org/10.1145/1120582.1120586.

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Carminati, Rémi. "Hidden statistics in speckle patterns." Photoniques, no. 110 (October 2021): 32–35. http://dx.doi.org/10.1051/photon/202111032.

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Scattering of coherent light from a disordered material produces a complex distribution of intensity known as a speckle pattern. Speckle patterns are not as random as they appear at first glance. Their statistical properties exhibit universal features, as already recognized in the first paper on laser speckle. The existence of short-range and long-range spatial correlations in speckles has been shown to be fundamental in wave physics. It has also led to the emergence of novel approaches for imaging through scattering media.
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Zak, Michail. "Hidden statistics of Schrödinger equation." Physics Essays 22, no. 2 (2009): 173–78. http://dx.doi.org/10.4006/1.3123664.

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Teague, Michael. "Statistics may ignore hidden crime." Probation Journal 52, no. 1 (2005): 76–77. http://dx.doi.org/10.1177/0264550505050627.

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Kulumbetova, D. B., G. K. Uashov, and E. G. Tokareva. "Kazakhstan’s Labor Market Peculiarities: Beyond Official Statistics." Central Asian Economic Review, no. 1 (May 20, 2025): 62–75. https://doi.org/10.52821/2789-4401-2025-1-62-75.

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The aim of the study is to consider the complex situation of the Kazakhstani labor market, characterized by hidden unemployment, gender inequality and analysis of the factors contributing to this phenomenon, emphasizing the need for a broader understanding of the dynamics of the labor market and the development of recommendations for activating this hidden labor force.The research methods used in this article are based on the collection and analysis of economic information, inductive methods, as well as statistical observations and comparison of the results obtained.Originality / Scientific va
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Mevel, L., and L. Finesso. "Asymptotical Statistics of Misspecified Hidden Markov Models." IEEE Transactions on Automatic Control 49, no. 7 (2004): 1123–32. http://dx.doi.org/10.1109/tac.2004.831156.

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Tokmachev, Andrey M. "Hidden scales in statistics of citation indicators." Journal of Informetrics 17, no. 1 (2023): 101356. http://dx.doi.org/10.1016/j.joi.2022.101356.

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Ge, Y. F. "Hidden topological Zn symmetry and fractional statistics." Physics Letters A 166, no. 3-4 (1992): 185–87. http://dx.doi.org/10.1016/0375-9601(92)90359-t.

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Constantino G. Medilo, Jr. and Ariel B. Lunzaga. "Analysis of the Current International Migration Using Fractal Statistics." Journal of Educational and Human Resource Development (JEHRD) 4 (December 10, 2016): 38–49. http://dx.doi.org/10.61569/p0zfh946.

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Now that human civilization has entered into the age of information, it is not clear if there are hidden push and pull factors that caused the current global distribution of migration. This study focused on finding the hidden dimensions of recent international migration using an emerging statistical tool called fractal statistical inference, which is a method that stemmed out from the theory of Benoit Mandelbrot. Utilizing the descriptive-correlational design to describe the current pattern of international migration to look for hidden dimensions, this study found out that the 2013 global dist
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Silveira, Fernando, and Edmundo de Souza e Silva. "Predicting packet loss statistics with hidden Markov models." ACM SIGMETRICS Performance Evaluation Review 35, no. 3 (2007): 19–21. http://dx.doi.org/10.1145/1328690.1328698.

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Dissertationen zum Thema "Hidden statistics"

1

Murphy, James Kevin. "Hidden states, hidden structures : Bayesian learning in time series models." Thesis, University of Cambridge, 2014. https://www.repository.cam.ac.uk/handle/1810/250355.

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This thesis presents methods for the inference of system state and the learning of model structure for a number of hidden-state time series models, within a Bayesian probabilistic framework. Motivating examples are taken from application areas including finance, physical object tracking and audio restoration. The work in this thesis can be broadly divided into three themes: system and parameter estimation in linear jump-diffusion systems, non-parametric model (system) estimation and batch audio restoration. For linear jump-diffusion systems, efficient state estimation methods based on the vari
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Van, Gael Jurgen. "Bayesian nonparametric hidden Markov models." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610196.

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Varenius, Malin. "Using Hidden Markov Models to Beat OMXS30." Thesis, Uppsala universitet, Tillämpad matematik och statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-409780.

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Tillman, Måns. "On-Line Market Microstructure Prediction Using Hidden Markov Models." Thesis, KTH, Matematisk statistik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208312.

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Over the last decades, financial markets have undergone dramatic changes. With the advent of the arbitrage pricing theory, along with new technology, markets have become more efficient. In particular, the new high-frequency markets, with algorithmic trading operating on micro-second level, make it possible to translate ”information” into price almost instantaneously. Such phenomena are studied in the field of market microstructure theory, which aims to explain and predict them. In this thesis, we model the dynamics of high frequency markets using non-linear hidden Markov models (HMMs). Such mo
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Bulla, Jan. "Computational Advances and Applications of Hidden (Semi-)Markov Models." Habilitation à diriger des recherches, Université de Caen, 2013. http://tel.archives-ouvertes.fr/tel-00987183.

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The document is my habilitation thesis, which is a prerequisite for obtaining the "habilitation à diriger des recherche (HDR)" in France (https://fr.wikipedia.org/wiki/Habilitation_universitaire#En_France). The thesis is of cumulative form, thus providing an overview of my published works until summer 2013.
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Ghosh, Tusharkanti. "Hierarchical hidden Markov models with applications to BiSulfite-sequencing data." Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/9036/.

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DNA methylation is an epigenetic modification with significant roles in various biological processes such as gene expression and cellular proliferation. Aberrant DNA methylation patterns compared to normal cells have been associated with a large number of human malignancies and potential cancer symptoms. In DNA methylation studies, an important objective is to detect differences between two groups under distinct biological conditions, for e.g., between cancer/ageing and normal cells. BiSulfite sequencing (BS-seq) is currently the gold standard for experimentally measuring genome-wide DNA methy
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Vaicenavicius, Juozas. "Optimal Sequential Decisions in Hidden-State Models." Doctoral thesis, Uppsala universitet, Matematiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-320809.

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This doctoral thesis consists of five research articles on the general topic of optimal decision making under uncertainty in a Bayesian framework. The papers are preceded by three introductory chapters. Papers I and II are dedicated to the problem of finding an optimal stopping strategy to liquidate an asset with unknown drift. In Paper I, the price is modelled by the classical Black-Scholes model with unknown drift. The first passage time of the posterior mean below a monotone boundary is shown to be optimal. The boundary is characterised as the unique solution to a nonlinear integral equatio
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Lindberg, David Seaman III. "Enhancing Individualized Instruction through Hidden Markov Models." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1405350981.

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Dawson, Colin Reimer, and Colin Reimer Dawson. "HaMMLeT: An Infinite Hidden Markov Model with Local Transitions." Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/626170.

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In classical mixture modeling, each data point is modeled as arising i.i.d. (typically) from a weighted sum of probability distributions. When data arises from different sources that may not give rise to the same mixture distribution, a hierarchical model can allow the source contexts (e.g., documents, sub-populations) to share components while assigning different weights across them (while perhaps coupling the weights to "borrow strength" across contexts). The Dirichlet Process (DP) Mixture Model (e.g., Rasmussen (2000)) is a Bayesian approach to mixture modeling which models the data as aris
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McGillivray, Annaliza. "A penalized quasi-likelihood approach for estimating the number of states in a hidden markov model." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=110634.

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In statistical applications of hidden Markov models (HMMs), one may have no knowledge of the number of hidden states (or order) of the model needed to be able to accurately represent the underlying process of the data. The problem of estimating the number of states of the HMM is thus a task of major importance. We begin with a literature review of the major developments in the problem of order estimation for HMMs. We then propose a new penalized quasi-likelihood method for estimating the number of hidden states, which makes use of the fact that the marginal distribution of the HMM observations
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Bücher zum Thema "Hidden statistics"

1

Shire, David. Half truths, Half measures: Hidden statistics on black unemployment. Black Employment Institute, 1997.

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1948-, Sík Endre, ed. Hidden economy in Hungary: Hidden economy as it is seen through the households. Hungarian Central Statistical Office, 1998.

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Bob, Carroll. The hidden game of football: The next edition. Total Sports, 1998.

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Viavant, Timothy Roland. Observations of fish attraction devices in Hidden and Harding Lakes, Alaska. Alaska Dept. of Fish and Game, Division of Sport Fish, Research and Technical Services, 1996.

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Institute for Children and Poverty. Pushed out: The hidden costs of gentrification : displacement and homelessness. Institute for Children and Poverty, 2009.

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Zucchini, W. Hidden Markov models for time series: An introduction using R. Chapman & Hall/CRC, 2009.

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John, Thorn. The hidden game of baseball: A revolutionary approach to baseball and its statistics. Doubleday, 1985.

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Paulos, John Allen. Once upon a number: The hidden mathematical logic of stories. Allen Lane, 1999.

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Paulos, John Allen. Once upon a number: The hidden mathematical logic of stories. Basic Books, 1998.

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Kivivuori, Janne. Discovery of hidden crime: Self-report delinquency surveys in criminal policy context. Oxford University Press, 2011.

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Buchteile zum Thema "Hidden statistics"

1

Flajolet, Philippe, Yves Guivarc’h, Wojciech Szpankowski, and Brigitte Vallée. "Hidden Pattern Statistics." In Automata, Languages and Programming. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48224-5_13.

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2

Balvig, Flemming. "5 The Hidden Statistics." In The Snow-White Image. Universitetsforlaget, 1988. http://dx.doi.org/10.18261/8200074722-05.

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Rosenbaum, Paul R. "Sensitivity to Hidden Bias." In Springer Series in Statistics. Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4757-2443-1_4.

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Rosenbaum, Paul R. "Sensitivity to Hidden Bias." In Springer Series in Statistics. Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4757-3692-2_4.

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Tancini, Daniele, Francesco Bartolucci, and Silvia Pandolfi. "Bayesian Hidden Markov Models for Early Warning." In Contributions to Statistics. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65723-8_9.

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Tancini, Daniele, Riccardo Rastelli, and Francesco Bartolucci. "Marginal Likelihood for Intractable Hidden Markov Models." In Italian Statistical Society Series on Advances in Statistics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-96033-8_65.

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Chopin, Nicolas, and Omiros Papaspiliopoulos. "Finite State-Spaces and Hidden Markov Models." In Springer Series in Statistics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47845-2_6.

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Foroni, Beatrice, Abbas Khalili, Lea Petrella, and Nicola Salvati. "Evaluating Hub Structures in Hidden Markov Graphical Models." In Italian Statistical Society Series on Advances in Statistics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-96736-8_70.

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Salvador, Paulo, António Nogueira, and Eduardo Rocha. "Multiscale Internet Statistics: Unveiling the Hidden Behavior." In CIM Series in Mathematical Sciences. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16121-1_15.

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Forsyth, David. "Markov Chains and Hidden Markov Models." In Probability and Statistics for Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64410-3_14.

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Konferenzberichte zum Thema "Hidden statistics"

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Schatzmann, Jost, Blaise Thomson, and Steve Young. "Statistical User Simulation with a Hidden Agenda." In Proceedings of the 8th SIGdial Workshop on Discourse and Dialogue. Association for Computational Linguistics, 2007. https://doi.org/10.18653/v1/2007.sigdial-1.48.

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Aboulnaga, Ashraf, and Jeffrey F. Naughton. "Building XML statistics for the hidden web." In the twelfth international conference. ACM Press, 2003. http://dx.doi.org/10.1145/956863.956930.

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Loesing, Karsten, Werner Sandmann, Christian Wilms, and Guido Wirtz. "Performance Measurements and Statistics of Tor Hidden Services." In 2008 International Symposium on Applications and the Internet. IEEE, 2008. http://dx.doi.org/10.1109/saint.2008.69.

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ARNAB, RAGHUNATH, and SARJINDER SINGH. "ON THE ESTIMATION OF SIZE AND MEAN VALUE OF A STIGMATIZED CHARACTERISTIC OF A HIDDEN GANG IN A FINITE POPULATION." In Proceedings of Statistics 2001 Canada: The 4th Conference in Applied Statistics. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 2002. http://dx.doi.org/10.1142/9781860949531_0001.

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Glusman, Gustavo. "Mining “junk” DNA to find hidden transcriptional gems." In 2009 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS). IEEE, 2009. http://dx.doi.org/10.1109/gensips.2009.5174348.

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Mallek, Maha, Ramzi Guetari, Nejmeddine Etteyeb, and Walid Ghariani. "Graphical representation of statistics hidden in unstructured data: A software application." In 2017 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2017. http://dx.doi.org/10.1109/smc.2017.8122681.

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Huang, Huajun, Shaohong Zhong, and Xingming Sun. "Steganalysis of Information Hidden in Webpage Based on Higher-order Statistics." In 2008 International Symposium on Electronic Commerce and Security. IEEE, 2008. http://dx.doi.org/10.1109/isecs.2008.169.

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Deka, Deepjyoti, Michael Chertkov, and Scott Backhaus. "Estimating topology and injection statistics in distribution grids with hidden nodes." In 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm). IEEE, 2017. http://dx.doi.org/10.1109/smartgridcomm.2017.8340739.

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Ramadhan, Rahmawati, Dodi Devianto, and Maiyastri Maiyastri. "Hidden Markov Model for Exchange Rate with EWMA Control Chart." In Proceedings of the 1st International Conference on Statistics and Analytics, ICSA 2019, 2-3 August 2019, Bogor, Indonesia. EAI, 2020. http://dx.doi.org/10.4108/eai.2-8-2019.2290474.

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Martin, Donald E. K., John A. D. Aston, and Sio-Iong Ao. "Exact Distribution Of Statistics Of Hidden State Sequences Via Message Passing in Factor Graphs." In IAENG TRANSACTIONS ON ENGINEERING TECHNOLOGIES VOLUME 2: Special Edition of the World Congress on Engineering and Computer Science. AIP, 2009. http://dx.doi.org/10.1063/1.3146186.

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Berichte der Organisationen zum Thema "Hidden statistics"

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Gómez-Suárez, Ronald, Frederico C. Guanais, and Leonardo Pinzón. Series of Avoidable Hospitalizations and Strengthening Primary Health Care: Primary Care Effectiveness and the Extent of Avoidable Hospitalizations in Latin America. Inter-American Development Bank, 2012. http://dx.doi.org/10.18235/0006953.

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This study combines detailed datasets on 39.1 million hospital discharges in six countries in Latin America and the Caribbean with summary statistics for the remaining countries in the region in order to estimate the number and economic effect of avoidable hospitalizations for ambulatory care sensitive conditions in the region. We estimated the number of avoidable hospitalizations to be in a range between 8.1 and 10 million, with both visible costs of attention and hidden costs of opportunity representing as high as 2.5% of the reported total health expenditure in 2009. Among countries with lo
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Doleac, Jennifer, and Benjamin Hansen. Does “Ban the Box” Help or Hurt Low-Skilled Workers? Statistical Discrimination and Employment Outcomes When Criminal Histories are Hidden. National Bureau of Economic Research, 2016. http://dx.doi.org/10.3386/w22469.

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Perdigão, Rui A. P., and Julia Hall. Spatiotemporal Causality and Predictability Beyond Recurrence Collapse in Complex Coevolutionary Systems. Meteoceanics, 2020. http://dx.doi.org/10.46337/201111.

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Causality and Predictability of Complex Systems pose fundamental challenges even under well-defined structural stochastic-dynamic conditions where the laws of motion and system symmetries are known. However, the edifice of complexity can be profoundly transformed by structural-functional coevolution and non-recurrent elusive mechanisms changing the very same invariants of motion that had been taken for granted. This leads to recurrence collapse and memory loss, precluding the ability of traditional stochastic-dynamic and information-theoretic metrics to provide reliable information about the n
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