Bayesian Data Analysis

Gelman, Andrew, Carlin, John B., Stern, Hal S., Dunson, David B., Vehtari, Aki, Rubin, Donald B.·2013·Chapman & Hall/CRC eBooks

Cited by (1,150)

Items 701–800 of 1,150

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  2. Bayesian Inference: An Introduction to Principles and Practice in Machine Learning
    Michael E. Tipping · 2004 · Lecture notes in computer science
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    Rahel Sollmann, Mariana Malzoni Furtado, Beth Gardner, Heribert Hofer, Anah T. A. Jácomo, Natália Mundim Tôrres, Leandro Silveira · 2011 · Biological Conservation
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    Daan R. M. G. Ophelders, Tim G. A. M. Wolfs, Reint K. Jellema, Alex Zwanenburg, Peter Andriessen, Tammo Delhaas, Anna‐Kristin Ludwig, Stefan Radtke, Vera B. M. Peters, Leon E. W. Janssen et al. · 2016 · Stem Cells Translational Medicine
  5. Bayesian random effects meta-analysis of trials with binary outcomes: methods for the absolute risk difference and relative risk scales
    Warn, D. E., Thompson, S. G., Spiegelhalter, D. J. · 2002 · Statistics in Medicine
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    Ward, Zachary J, Yeh, Jennifer M, Bhakta, Nickhill, Frazier, A Lindsay, Girardi, Fabio, Atun, Rifat · 2019 · The Lancet Oncology
  7. Parameterization and Bayesian Modeling
    Andrew Gelman · 2004 · Journal of the American Statistical Association
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    Rens van de Schoot, Joris Broere, Koen H. Perryck, Marielle A. J. Zondervan-Zwijnenburg, Nancy E. E. Van Loey · 2015 · European Journal of Psychotraumatology
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    Robert L. Winkler · 1996 · Reliability Engineering & System Safety
  10. A 2 × 2 taxonomy of multilevel latent contextual models: accuracy-bias trade-offs in full and partial error correction models.
    Oliver Lüdtke, H. Marsh, Alexander Robitzsch, Ulrich Trautwein · 2011 · Psychological methods
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    Robert H. Dodier, Gregor P. Henze, Dale K. Tiller, Xin Yu Guo · 2006 · Energy and Buildings
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    Masa-aki Sato, Taku Yoshioka, Shigeki Kajihara, Keisuke Toyama, Naokazu Goda, Kenji Doya, Mitsuo Kawato · 2004 · NeuroImage
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    Francis Bach · 2013 · now publishers, Inc. eBooks
  15. A modified toxicity probability interval method for dose-finding trials
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    Richard Condit, Peter Shaw ASHTON, Sarayudh Bunyavejchewin, Handanakere Shivaramaiah Dattaraja, Stuart James Davies, Shameema Esufali, Corneille E. N. Ewango, Robin B. Foster, I. A. U. N. Gunatilleke, C. V. S. Gunatilleke et al. · 2006 · Science
  17. Bayesian Estimation and Testing of Structural Equation Models
    Richard Scheines, Herbert J. A. Hoijtink, Anne Boomsma · 1999 · Psychometrika
  18. Faster estimation of Bayesian models in ecology using Hamiltonian Monte Carlo
    Cole C. Monnahan, James T. Thorson, Trevor A. Branch · 2016 · Methods in Ecology and Evolution
  19. Monetary Policy Under Uncertainty in Micro-Founded Macroeconometric Models
    Andrew Levin, Alexei Onatski, John C. Williams, Noah Williams · 2005 · National Bureau of Economic Research
  20. A Bayesian operationalization of the resource‐based view
    Mark H Hansen, Lee Tom Perry, C. Shane Reese · 2004 · Strategic Management Journal
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    Heinz Leitgöb, Daniel Seddig, Tihomir Asparouhov, Dorothée Behr, Eldad Davidov, Kim De Roover, Suzanne Jak, Katharina M. Meitinger, Natalja Menold, Bengt Muthén et al. · 2022 · Social Science Research
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    Simon Iain Hay, Carlos A. Guerra, Peter W. Gething, Anand P. Patil, Andrew J. Tatem, Abdisalan Mohamed Noor, Caroline W. Kabaria, Bui Huu Manh, Iqbal Elyazar, SIMON J. BROOKER et al. · 2009 · PLoS Medicine
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    Adam B. Mantz, S. W. Allen, H. Ebeling, David Rapetti, A. Drlica-Wagner · 2010 · Monthly Notices of the Royal Astronomical Society
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    Michael David Lee, Tarrant D.R. Cummins · 2004 · Psychonomic Bulletin & Review
  25. Marginally Significant Effects as Evidence for Hypotheses
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    M. Ciuchini, Antônio Coutinho, Marco Fedele, E. Franco, Ayan Paul, Luca Silvestrini, Mauro Valli · 2017 · The European Physical Journal C
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    Marsman, Maarten, Wagenmakers, Eric-Jan · 2017 · European Journal of Developmental Psychology
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    Tarek Moselhy, Youssef Marzouk · 2012 · Journal of Computational Physics
  29. Spatial Regression Models for Demographic Analysis
    Guangqing Chi, Jun Zhu · 2007 · Population Research and Policy Review
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    Matthew W. Jones, Douglas Ian Kelley, Chantelle Burton, Francesca Di Giuseppe, Maria Lucia Ferreira Barbosa, Esther Brambleby, Andrew James Hartley, Anna Lombardi, Guilherme Mataveli, Joe McNorton et al. · 2024 · Earth system science data
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    Valérie Viallefont, Adrian E. Raftery, Sylvia T. Richardson · 2001 · Statistics in Medicine
  33. Recursive unsupervised learning of finite mixture models
    Zoran Živković, Ferdinand van der Heijden · 2004 · IEEE Transactions on Pattern Analysis and Machine Intelligence
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    Paul B. Conn, Devin S. Johnson, Perry J. Williams, Sharon R. Melin, Mevin B. Hooten · 2018 · Ecological Monographs
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    Emily S. Darling, Tim R. McClanahan, Joseph Mbui Maina, Georgina Grace Gurney, Nicholas A. J. Graham, Fraser A. Januchowski‐Hartley, Joshua E. Cinner, Camilo Mora, Christina Chemtai Hicks, Eva Maire et al. · 2019 · Nature Ecology & Evolution
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    Anton Törnberg, Petter Törnberg · 2016 · Discourse Context & Media
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    Vanni Bucci, Belinda Tzen, Ning Li, Matt Simmons, Takeshi Tanoue, Elijah Bogart, Luxue Deng, Vladimir Yeliseyev, Mary Louise Delaney, Qing Liu et al. · 2016 · Genome biology
  39. Design of inferential sensors in the process industry: A review of Bayesian methods
    Shima Khatibisepehr, Biao Huang, Swanand Khare · 2013 · Journal of Process Control
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    Eric M. Schwartz, Eric T. Bradlow, Peter S. Fader · 2017 · Marketing Science
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    Toni, Tina, Stumpf, Michael P. H. · 2010 · Bioinformatics
  42. Climate Adaptation as a Control Problem: Review and Perspectives on Dynamic Water Resources Planning Under Uncertainty
    Jonathan D. Herman, Julianne D. Quinn, Scott Steinschneider, Matteo Giuliani, Sarah Marie Fletcher · 2020 · Water Resources Research
  43. Structured statistical models of inductive reasoning
    Kemp, Charles, Tenenbaum, Joshua B. · 2009 · Psychological Review
  44. Markov Model for Storm Water Pipe Deterioration
    Tom Micevski, George A. Kuczera, Peter John Coombes · 2002 · Journal of Infrastructure Systems
  45. Missing Data Analysis Using Multiple Imputation
    Yulei He · 2010 · Circulation Cardiovascular Quality and Outcomes
  46. ESTIMATING POPULATION SPREAD: WHAT CAN WE FORECAST AND HOW WELL?
    James S. Clark, Mark A. Lewis, JASON S. McLACHLAN, Janneke Hille Ris Lambers · 2003 · Ecology
  47. Bayesian Optimization for Materials Design
    Peter I. Frazier, Jialei Wang · 2015 · Springer series in materials science
  48. Colloquium : Machine learning in nuclear physics
    A. Boehnlein, M. Diefenthaler, Nobuo Sato, M. Schram, V. Ziegler, C. Fanelli, Morten Hjorth-Jensen, Tanja Horn, Michelle Kuchera, Dean Lee et al. · 2022 · Reviews of Modern Physics
  49. BET_EF: a probabilistic tool for long- and short-term eruption forecasting
    Warner Marzocchi, Laura Sandri, Jacopo Selva · 2007 · Bulletin of Volcanology
  50. EDGE-MEDIATED DISPERSAL BEHAVIOR IN A PRAIRIE BUTTERFLY
    Cheryl B. Schultz, Elizabeth E. Crone · 2001 · Ecology
  51. On the Similarity of Classical and Bayesian Estimates of Individual Mean Partworths
    Joel C. Huber, Kenneth E. Train · 2001 · Marketing Letters
  52. Eliminating Bias in Classify-Analyze Approaches for Latent Class Analysis
    Bethany Cara Bray, Stephanie T. Lanza, Xianming M. Tan · 2014 · Structural Equation Modeling A Multidisciplinary Journal
  53. Successful conservation of global waterbird populations depends on effective governance
    Tatsuya Amano, Tamás Székely, Brody Sandel, Szabolcs Nagy, Taej Mundkur, Tom Langendoen, Daniel E. Blanco, Candan U. Soykan, William J. Sutherland · 2017 · Nature
  54. Hamiltonian Monte Carlo for Hierarchical Models
    Michael Betancourt, Mark Girolami · 2015 · Chapman & Hall/CRC eBooks
  55. Mechanistic theory predicts the effects of temperature and humidity on inactivation of SARS-CoV-2 and other enveloped viruses
    Dylan H. Morris, Claude Kwe Yinda, Amandine Gamble, Fernando W. Rossine, Qishen Huang, Trenton Bushmaker, Robert J. Fischer, M. Jeremiah Matson, Neeltje van Doremalen, Peter J. Vikesland et al. · 2021 · eLife
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    Haibin Wu, Joel Guiot B, Simon Brewer, Zhengtang Guo · 2007 · Climate Dynamics
  57. Estimation and Inference via Bayesian Simulation: An Introduction to Markov Chain Monte Carlo
    Simon D. Jackman · 2000 · American Journal of Political Science
  58. Determining the Effective Sample Size of a Parametric Prior
    Satoshi Morita, Peter F. Thall, Peter Müller · 2007 · Biometrics
  59. Neural Variability and Sampling-Based Probabilistic Representations in the Visual Cortex
    Gergő Orbán, Pietro Berkes, József Fiser, Máté Lengyel · 2016 · Neuron
  60. Markov chain Monte Carlo methods in biostatistics
    Andrew Gelman, Donald B. Rubin · 1996 · Statistical Methods in Medical Research
  61. Gaussian Process Models for Computer Experiments With Qualitative and Quantitative Factors
    Peter Z. G. Qian, Huaiqing Wu, Cheng Wu · 2008 · Technometrics
  62. Model misspecification and probabilistic tests of topology: evidence from empirical data sets.
    Buckley, Thomas R. · 2002 · Systematic Biology
  63. Modeling Movie Life Cycles and Market Share
    Andrew Ainslie, Xavier Drèze, Fred S. Zufryden · 2005 · Marketing Science
  64. 31A Review of Cognitively Diagnostic Assessment and a Summary of Psychometric Models
    Louis V. DiBello, Louis A. Roussos, William Stout · 2006 · Handbook of statistics
  65. Network inference, error, and informant (in)accuracy: a Bayesian approach
    Carter T. Butts · 2003 · Social Networks
  66. Incorporating time-varying catchability into population dynamic stock assessment models
    Wilberg, Michael J., Thorson, James T., Linton, Brian C., Berkson, Jim · 2009 · Reviews in Fisheries Science
  67. Multiple Imputation for Incomplete Data in Epidemiologic Studies
    Ofer Harel, Emily M. Mitchell, Neil J. Perkins, Stephen R. Cole, Eric J. Tchetgen Tchetgen, Baoluo Sun, Enrique F. Schisterman · 2017 · American Journal of Epidemiology
  68. Regression Discontinuity Designs
    Matias D. Cattaneo, Rocío Titiunik · 2022 · Annual Review of Economics
  69. Proceedings of the 2017 Winter Simulation Conference
    Wai-Man Chan, Andrea D’Ambrogio, Grégory Zacharewicz, Navonil Mustafee, Gabriel Wainer, Ernie Page · 2017 · HAL
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    Andrew Gelman, Christian Martin Hennig · 2017 · Journal of the Royal Statistical Society Series A (Statistics in Society)
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    G. Tapia, Alaa H. Elwany, Huiyan Sang · 2016 · Additive manufacturing
  72. A Bayesian Formulation of Exploratory Data Analysis and Goodness‐of‐fit Testing*
    Andrew Gelman · 2003 · International Statistical Review
  73. Bayes Factors and BIC: Comment on “A Critique of the Bayesian Information Criterion for Model Selection”
    RAFTERY, ADRIAN E. · 1999 · Sociological Methods & Research
  74. Dorsal hippocampus contributes to model-based planning
    Kevin J. Miller, Matthew Botvinick, Carlos D. Brody · 2017 · Nature Neuroscience
  75. Probabilistic projections of the total fertility rate for all countries
    Alkema, Leontine, Raftery, Adrian E., Gerland, Patrick, Clark, Samuel J., Pelletier, François, Buettner, Thomas, Heilig, Gerhard K. · 2011 · Demography
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    Thomas Bodin, Malcolm Sambridge, Nicholas J.F. Rawlinson, P. Arroucau · 2012 · Geophysical Journal International
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  80. Comparing parent–offspring regression with frequentist and Bayesian animal models to estimate heritability in wild populations: a simulation study for Gaussian and binary traits
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  90. Practical Issues in Implementing and Understanding Bayesian Ideal Point Estimation
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  92. A phylogenetic model for investigating correlated evolution of substitution rates and continuous phenotypic characters
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  93. How Much Can We Generalize From Impact Evaluations?
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  94. ‘Ghost’ alleles of the Mauritius kestrel
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  97. When Trees Grow Too Long: Investigating the Causes of Highly Inaccurate Bayesian Branch-Length Estimates
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