Bayesian Data Analysis

Cited by (1,150)

Items 501–600 of 1,150

1. Bayesian approach for neural networks—review and case studies
   Lampinen, Jouko, Vehtari, Aki · 2001 · Neural Networks
2. Mutational and fitness landscapes of an RNA virus revealed through population sequencing
   Ashley Acevedo, Leonid Brodsky, Raul Andino · 2013 · Nature
3. Penalized loss functions for Bayesian model comparison
   Martyn Plummer · 2008 · Biostatistics
4. Signatures of negative selection in the genetic architecture of human complex traits
   Zeng, Jian, de Vlaming, Ronald, Wu, Yang, Robinson, Matthew R., Lloyd-Jones, Luke R., Yengo, Loic, Yap, Chloe X., Xue, Angli, Sidorenko, Julia, McRae, Allan F. et al. · 2018 · Nature Genetics
5. Inferring cellular networks – a review
   Florian M. Markowetz, Rainer Spang · 2007 · BMC Bioinformatics
6. Bayesian Markov chain Monte Carlo sequence analysis reveals varying neutral substitution patterns in mammalian evolution
   Hwang, Dick G., Green, Phil · 2004 · Proceedings of the National Academy of Sciences
7. Type S error rates for classical and Bayesian single and multiple comparison procedures
   Gelman, Andrew, Tuerlinckx, Francis · 2000 · Computational Statistics
8. Deciding Between Competition and Collusion
   Patrick Bajari, Lixin Ye · 2003 · The Review of Economics and Statistics
9. Therapeutic trajectory following intra-articular hyaluronic acid injection in knee osteoarthritis – meta-analysis
   Raveendhara R. Bannuru, Nikola S. Natov, U.R. Dasi, Christopher H. Schmid, Timothy E. McAlindon · 2011 · Osteoarthritis and Cartilage
10. Maternal obesity and risk of neural tube defects: a metaanalysis
    Sonja A. Rasmussen, Susan Y. Chu, Shin Y. Kim, Christopher H. Schmid, Joseph Lau · 2008 · American Journal of Obstetrics and Gynecology
11. Bayesian Estimation and Inference
    Michael James Zyphur, Frederick Louis Oswald · 2013 · Journal of Management
12. β-Blockers in Congestive Heart Failure: A Bayesian Meta-Analysis
    Brophy, James M., Joseph, Lawrence, Rouleau, Jean L. · 2001 · Annals of Internal Medicine
13. Individual Covariation in Life‐History Traits: Seeing the Trees Despite the Forest
    Emmanuelle Cam, William A. Link, Evan G. Cooch, Jean‐Yves Monnat, Étienne Danchin · 2002 · The American Naturalist
14. Modeling Traffic Crash-Flow Relationships for Intersections: Dispersion Parameter, Functional Form, and Bayes Versus Empirical Bayes Methods
    Shaw‐Pin Miaou, Dominique Lord · 2003 · Transportation Research Record Journal of the Transportation Research Board
15. A Lognormal Model for Response Times on Test Items
    Wim J. van der Linden · 2006 · Journal of Educational and Behavioral Statistics
16. Canopy mortality has doubled in Europe’s temperate forests over the last three decades
    Cornelius Senf, Dirk Pflugmacher A, Zhiqiang Yang, Julius Sebald, Jan Knorn, Mathias Neumann, Patrick Hostert, Rupert Seidl · 2018 · Nature Communications
17. Medusozoan Phylogeny and Character Evolution Clarified by New Large and Small Subunit rDNA Data and an Assessment of the Utility of Phylogenetic Mixture Models
    Allen Gilbert Collins, Peter Schuchert, António Carlos Marques, Thomas Jankowski, Mónica Medina, Bernd Schierwater · 2006 · Systematic Biology
18. Unifying error structures in commonly used biotracer mixing models.
    B. Stock, B. Semmens · 2016 · Ecology
19. Alternatives To Statistical Hypothesis Testing In Ecology: A Guide To Self Teaching
    N. Thompson Hobbs, Ray W. Hilborn · 2006 · Ecological Applications
20. Old Voters, New Voters, and the Personal Vote: Using Redistricting to Measure the Incumbency Advantage
    Stephen D. Ansolabehere, James M. Snyder, Charles H. Stewart III · 2000 · American Journal of Political Science
21. Bayesian perspectives for epidemiological research: I. Foundations and basic methods
    Greenland, Sander · 2006 · International Journal of Epidemiology
22. On the Sources of the Great Moderation
    Jordi Galí Y, Luca Gambetti Z · 2009 · American Economic Journal Macroeconomics
23. Learning Gaussian processes from multiple tasks
    Kai Yu, Volker Tresp, Anton Schwaighofer · 2005 · International Conference on Machine Learning
24. Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
    Benidis, Konstantinos, Rangapuram, Syama Sundar, Flunkert, Valentin, Wang, Yuyang, Maddix, Danielle, Turkmen, Caner, Gasthaus, Jan, Bohlke-Schneider, Michael, Salinas, David, Stella, Lorenzo et al. · 2023 · ACM Computing Surveys
25. Computational Strategies for Multivariate Linear Mixed-Effects Models With Missing Values
    Joseph L. Schafer, Recai Murat Yucel · 2002 · Journal of Computational and Graphical Statistics
26. A Principled Approach to Detecting Surprising Events in Video
    Laurent Itti, Pierre Baldi · 2005 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
27. Time Series Analysis of Non-Gaussian Observations Based on State Space Models from Both Classical and Bayesian Perspectives
    James Durbin, Siem Jan Koopman · 2000 · Journal of the Royal Statistical Society Series B (Statistical Methodology)
28. Discovering geographical topics in the twitter stream
    Liangjie Hong, Amr AbdelFatah Ahmed, Siva Gurumurthy, Alexander Johannes Smola, Kostas Tsioutsiouliklis · 2012 · International World Wide Web Conference (WWW)
29. Online Model Selection Based on the Variational Bayes
    Masa-aki Sato · 2001 · Neural Computation
30. Crises and Recoveries in an Empirical Model of Consumption Disasters
    Emi Nakamura, Jón Steinsson, Robert J. Barro, José F. Ursúa · 2013 · American Economic Journal Macroeconomics
31. A systematic review of Bayesian articles in psychology: The last 25 years.
    Rens van de Schoot, Sonja D. Winter, Oisín Ryan, Marielle A. J. Zondervan-Zwijnenburg, Sarah A. Depaoli · 2017 · Psychological Methods
32. Evaluating the impacts of protected areas on human well-being across the developing world
    Robin Naidoo, Drew Gerkey, David G. Hole, Alexander S. P. Pfaff, Alicia M. Ellis, Christopher De Weir Golden, D. Herrera, Kiersten Johnson, Mark P. Mulligan, Taylor H. Ricketts et al. · 2019 · Science Advances
33. Severity of driver injury and vehicle damage in traffic crashes at intersections: A Bayesian hierarchical analysis
    Helai Huang, Hoong Chor Chin, Md. Mazharul Haque · 2007 · Accident Analysis & Prevention
34. Bayesian Total-Evidence Dating Reveals the Recent Crown Radiation of Penguins
    Gavryushkina, Alexandra, Heath, Tracy A., Ksepka, Daniel T., Stadler, Tanja, Welch, David, Drummond, Alexei J. · 2016 · Systematic Biology
35. Heritability of cooperative behavior in the trust game
    Cesarini, David, Dawes, Christopher T., Fowler, James H., Johannesson, Magnus, Lichtenstein, Paul, Wallace, Björn · 2008 · Proceedings of the National Academy of Sciences
36. Building Statistical Models To Analyze Species Distributions
    Andrew M. Latimer, Shanshan Wu, Alan E. Gelfand, John A. Silander · 2006 · Ecological Applications
37. Rational approximations to rational models: alternative algorithms for category learning
    Sanborn, Adam N., Griffiths, Thomas L., Navarro, Daniel J. · 2010 · Psychological Review
38. Prediction of Psilocybin Response in Healthy Volunteers
    Studerus, Erich, Gamma, Alex, Kometer, Michael, Vollenweider, Franz X. · 2012 · PLoS ONE
39. Umgang mit fehlenden Werten in der psychologischen Forschung
    Oliver Lüdtke, Alexander Robitzsch, Ulrich Trautwein, Olaf Köller · 2007 · Psychologische Rundschau
40. Interspecific variation in primary seed dispersal in a tropical forest
    Helene C. Muller‐Landau, Stuart Joseph Wright, Osvaldo Calderón, Richard Condit, Stephen P. Hubbell · 2008 · Journal of Ecology
41. A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems
    Rafael Figueiredo Prudencio, Marcos R. O. A. Máximo, Esther Luna Colombini · 2023 · IEEE Transactions on Neural Networks and Learning Systems
42. State of the Field: Extreme Precision Radial Velocities
    Debra A. Fischer, Guillem Anglada-Escudé, Pamela Arriagada, Roman V. Baluev, Jacob L. Bean, F. Bouchy, Lars A. Buchhave, T. A. Carroll, Abhijit G. Chakraborty, Justin R. Crepp et al. · 2016 · Publications of the Astronomical Society of the Pacific
43. Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package
    Woo‐Young Ahn, Nathaniel Haines, Lei Zhang · 2017 · Computational Psychiatry
44. Calibration, validation, and sensitivity analysis: What's what
    T.G. Trucano, Laura Painton Swiler, Takeru Igusa, William L. Oberkampf, Martin M. Pilch · 2006 · Reliability Engineering & System Safety
45. Curvature tension: Evidence for a closed Universe
    Handley, Will · 2021 · Physical Review D
46. Spatially explicit Bayesian clustering models in population genetics
    Olivier François, ERIC DURAND · 2010 · Molecular Ecology Resources
47. Expected Value of Sample Information Calculations in Medical Decision Modeling
    Ades, A. E., Lu, G., Claxton, K. · 2004 · Medical Decision Making
48. Entropy inference and the James-Stein estimator, with application to nonlinear gene association networks
    Jean Hausser, Korbinian Strimmer · 2008 · arXiv (Cornell University)
49. The Variable Selection Problem
    E. George · 2000 · Journal of the American Statistical Association
50. Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods
    DE LOS CAMPOS, GUSTAVO, GIANOLA, DANIEL, ROSA, GUILHERME J. M., WEIGEL, KENT A., CROSSA, JOSÉ · 2010 · Genetics Research
51. Explanations Can Reduce Overreliance on AI Systems During Decision-Making
    Vasconcelos, Helena, Jörke, Matthew, Grunde-McLaughlin, Madeleine, Gerstenberg, Tobias, Bernstein, Michael S., Krishna, Ranjay · 2023 · Proceedings of the ACM on Human-Computer Interaction
52. Unsupervised Activity Perception by Hierarchical Bayesian Models
    Xiaogang Wang, Xiaoxu Ma, W. Eric L. Grimson · 2007 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
53. Bayesian methods in health technology assessment: a review.
    Spiegelhalter, Myles, Jones, Keith R. Abrams · 2000 · Health Technology Assessment
54. Multiple imputation as a flexible tool for missing data handling in clinical research
    Craig K. Enders · 2016 · Behaviour Research and Therapy
55. A review of automatic selection methods for machine learning algorithms and hyper-parameter values
    Luo, Gang · 2016 · Network Modeling Analysis in Health Informatics and Bioinformatics
56. Separate and Joint Modeling of Longitudinal and Event Time Data Using Standard Computer Packages
    Xu Guo, Bradley P. Carlin · 2004 · The American Statistician
57. An international cohort study of cancer in systemic lupus erythematosus
    Sasha Bernatsky, J.-F. Boivin, L. Joseph, R. Rajan, Asad A Zoma, S Manzi, Ellen M. Ginzler, Murray B. Urowitz, Dafna D. Gladman, Paul R. Fortin et al. · 2005 · Arthritis & Rheumatism
58. Investigating Inflation Persistence Across Monetary Regimes*
    Luca Benati · 2008 · The Quarterly Journal of Economics
59. Seabirds enhance coral reef productivity and functioning in the absence of invasive rats
    Nicholas A. J. Graham, Shaun K. Wilson, Peter Carr, Andrew Scott Hoey, Simon Jennings, M. Aaron MacNeil · 2018 · Nature
60. Physiological Pharmacokinetic Analysis Using Population Modeling and Informative Prior Distributions
    Gelman, Andrew, Bois, Frederic, Jiang, Jiming · 1996 · Journal of the American Statistical Association
61. FRIENDS OF HOT JUPITERS. I. A RADIAL VELOCITY SEARCH FOR MASSIVE, LONG-PERIOD COMPANIONS TO CLOSE-IN GAS GIANT PLANETS
    Knutson, Heather A., Fulton, Benjamin J., Montet, Benjamin T., Kao, Melodie, Ngo, Henry, Howard, Andrew W., Crepp, Justin R., Hinkley, Sasha, Bakos, Gaspar Á., Batygin, Konstantin et al. · 2014 · The Astrophysical Journal
62. Pharmacokinetic/Pharmacodynamic Modeling in Drug Development
    Sheiner, L. B., Steimer, J.-L. · 2000 · Annual Review of Pharmacology and Toxicology
63. The observed growth of massive galaxy clusters - I. Statistical methods and cosmological constraints
    Adam B. Mantz, S. W. Allen, David Rapetti, H. Ebeling · 2010 · Monthly Notices of the Royal Astronomical Society
64. On thinning of chains in MCMC
    Link, William A., Eaton, Mitchell J. · 2012 · Methods in Ecology and Evolution
65. National and State Estimates of Adults with Autism Spectrum Disorder
    Dietz, Patricia M., Rose, Charles E., McArthur, Dedria, Maenner, Matthew · 2020 · Journal of Autism and Developmental Disorders
66. Bilinear Mixed-Effects Models for Dyadic Data
    Peter D. Hoff · 2005 · Journal of the American Statistical Association
67. An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants
    Jesper Møller, Anthony N. Pettitt, R. Reeves, Kasper K. Berthelsen · 2006 · Biometrika
68. Low P-Values or Narrow Confidence Intervals: Which Are More Durable?
    C. Poole · 2001 · Epidemiology
69. Prevalence and causes of vision loss in high-income countries and in Eastern and Central Europe in 2015: magnitude, temporal trends and projections
    Rupert Bourne, Jost Bruno Jonas, Alain Marie Bron, Maria Vittoria Cicinelli, Aditi Das, Seth R Flaxman, David Steven Friedman, Jill Elizabeth Keeffe, John H. Kempen, Janet L Leasher et al. · 2018 · British Journal of Ophthalmology
70. A survey of Bayesian predictive methods for model assessment, selection and comparison
    Aki Vehtari, Janne Ojanen · 2012 · Statistics Surveys
71. MCMC Estimation and Some Model-Fit Analysis of Multidimensional IRT Models
    Anton A. Béguin, Cees A. W. Glas · 2001 · Psychometrika
72. What to believe: Bayesian methods for data analysis
    Kruschke, John K. · 2010 · Trends in Cognitive Sciences
73. A Survey of Model Evaluation Approaches With a Tutorial on Hierarchical Bayesian Methods
    Richard M. Shiffrin, Michael David Lee, Woojae Kim, Eric‐Jan Wagenmakers · 2008 · Cognitive Science
74. Use of a Gaussian copula for multivariate extreme value analysis: Some case studies in hydrology
    Benjamin Renard, M. Lang · 2006 · Advances in Water Resources
75. Statins for Secondary Prevention in Elderly Patients
    Jonathan Afilalo, Gustavo Duque, Russell John Steele, J. Wouter Jukema, Anton J.M. de Craen, Mark Jeffrey Eisenberg · 2008 · Journal of the American College of Cardiology
76. Multivariate Density Forecast Evaluation and Calibration In Financial Risk Management: High-Frequency Returns on Foreign Exchange
    Francis X. Diebold, Jinyong Hahn, Anthony S. Tay · 1999 · The Review of Economics and Statistics
77. Applications and Extensions of MCMC in IRT: Multiple Item Types, Missing Data, and Rated Responses
    Richard J. Patz, Brian W. Junker · 1999 · Journal of Educational and Behavioral Statistics
78. Bayesian LASSO for Quantitative Trait Loci Mapping
    Nengjun Yi, Shizhong Xu · 2008 · Genetics
79. A Comprehensive Survey to Face Hallucination
    Nannan Wang, Dacheng Tao, Xinbo Gao, Xuelong Li, Jie Li · 2013 · International Journal of Computer Vision
80. Bayesian Updating with Structural Reliability Methods
    Dániel Straub, Iason Papaioannou · 2014 · Journal of Engineering Mechanics
81. A Bayesian Model to Forecast New Product Performance in Domestic and International Markets
    Ramya Neelamegham, Pradeep K. Chintagunta · 1999 · Marketing Science
82. The Insignificance of Null Hypothesis Significance Testing
    J. Gill · 1999 · Political Research Quarterly
83. Estimating Heterogeneous Treatment Effects with Observational Data
    Yu Xie, Jennie E. Brand, Ben Jann · 2012 · Sociological Methodology
84. A probabilistic neural network for earthquake magnitude prediction
    Hojjat Adeli, Ashif Panakkat · 2009 · Neural Networks
85. Bayesian Hierarchical Modeling for Integrating Low-Accuracy and High-Accuracy Experiments
    Peter Z. G. Qian, Changbao Wu · 2008 · Technometrics
86. A Bayesian, spatially-varying calibration model for the TEX86 proxy
    Jessica E. Tierney, Martin P. Tingley · 2013 · Geochimica et Cosmochimica Acta
87. The prevalence of polycystic ovary syndrome in reproductive-aged women of different ethnicity: a systematic review and meta-analysis
    Ding, Tao, Hardiman, Paul J., Petersen, Irene, Wang, Fang-Fang, Qu, Fan, Baio, Gianluca · 2017 · Oncotarget
88. Viral Dynamics of SARS-CoV-2 Variants in Vaccinated and Unvaccinated Persons
    Kissler, Stephen M., Fauver, Joseph R., Mack, Christina, Tai, Caroline G., Breban, Mallery I., Watkins, Anne E., Samant, Radhika M., Anderson, Deverick J., Metti, Jessica, Khullar, Gaurav et al. · 2021 · New England Journal of Medicine
89. Probabilistic Topic Models
    David M. Blei, Lawrence Carin, David B. Dunson · 2010 · IEEE Signal Processing Magazine
90. Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters
    George A. Kuczera, Dmitri Kavetski, Stewart William Franks, Mark Thyer · 2006 · Journal of Hydrology
91. P Values for Composite Null Models
    María Jesús Bayarri, James O. Berger · 2000 · Journal of the American Statistical Association
92. A Skew Extension of the T -Distribution, with Applications
    M. C. Jones, Malcolm J Faddy · 2003 · Journal of the Royal Statistical Society Series B (Statistical Methodology)
93. Age groups that sustain resurging COVID-19 epidemics in the United States
    Mélodie Monod, Alexandra Blenkinsop, Xiaoyue Xi, Daniel J. Hebert, Sivan Bershan, Simon Tietze, Marc Baguelin, Valerie C. Bradley, Yu Chen, Helen Coupland et al. · 2021 · Science
94. Towards unbiased parentage assignment: combining genetic, behavioural and spatial data in a Bayesian framework
    Jarrod D. Hadfield, David S. Richardson, Terry A. Burke · 2006 · Molecular Ecology
95. Bayesian data analysis
    John K. Kruschke · 2010 · Wiley Interdisciplinary Reviews Cognitive Science
96. Trends in the Prevalence and Ratio of Diagnosed to Undiagnosed Diabetes According to Obesity Levels in the U.S.
    Edward W. Gregg, Betsy L. Cadwell, Yiling J. Cheng, Catherine C. Cowie, Desmond E. Williams, Linda S. Geiss, Michael Maurice Engelgau, Frank Vinicor · 2004 · Diabetes Care
97. Seasonal and Regional Short-term Effects of Fine Particles on Hospital Admissions in 202 US Counties, 1999–2005
    Michelle Lee Bell, Keita Ebisu, Roger D. Peng, Jemma L Walker, Jonathan M. Samet, Scott L. Zeger, Francesca Dominici · 2008 · American Journal of Epidemiology
98. Bayesian Methods in Conservation Biology
    Paul R. Wade · 2000 · Conservation Biology
99. Temperature and photoperiod drive spring phenology across all species in a temperate forest community
    Dan F. B. Flynn, E. M. Wolkovich · 2018 · New Phytologist
100. Mixed model prediction and small area estimation
     Jiming Jiang, Partha Lahiri · 2006 · Test