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1. Full Text Inverse problems: A Bayesian perspective
by Stuart, A. M
Acta Numerica, ISSN 0962-4929, 5/2010, Volume 19, pp. 451 - 559
The subject of inverse problems in differential equations is of enormous practical importance, and has also generated substantial mathematical and... 
Bayesian analysis
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2. Post Hoc Bayesian Analyses/ Reply
by Scott K Aberegg and David Ferreira and Nicolas Meyer and Ewan C Goligher and George Tomlinson and Arthur S Slutsky
JAMA, ISSN 0098-7484, 04/2019, Volume 321, Issue 16, p. 1631
Bayesian analysis
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3. Bayesian Nonparametric Longitudinal Data Analysis
by Quintana, Fernando A and Johnson, Wesley O and Waetjen, L. Elaine and Gold, Ellen B
Journal of the American Statistical Association, ISSN 0162-1459, 09/2016, Volume 111, Issue 515, pp. 1168 - 1181
Practical Bayesian nonparametric methods have been developed across a wide variety of contexts. Here, we develop a novel statistical model that generalizes... 
Bayesian analysis
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4. Editorial to the special issue on perspectives on human probabilistic inference and the 'Bayesian brain'
by Johan Kwisthout and William A Phillips and Anil K Seth and Iris Van Rooij and Andy Clark
Brain and Cognition, ISSN 0278-2626, 03/2017, Volume 112, p. 1
Bayesian analysis
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5. Full Text HOPEWELL BLADELETS: A BAYESIAN RADIOCARBON ANALYSIS – ERRATUM
by Miller, G. Logan
American Antiquity, ISSN 0002-7316, 04/2018, Volume 83, Issue 2, pp. 365 - 365
The originally published version of this article (Miller, 2018) listed the incorrect article type. The correct article type for this article is “Article.” 
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6. Full Text THE MYTHS AND REALITIES OF BAYESIAN CHRONOLOGICAL MODELING REVEALED – ERRATUM
by Hamilton, W. Derek and Krus, Anthony M
American Antiquity, ISSN 0002-7316, 04/2018, Volume 83, Issue 2, pp. 365 - 365
The originally published version of this article (Hamilton and Krus, 2017) listed the incorrect article type. The correct article type for this article is... 
Bayesian analysis
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7. [Formula Omitted]-Norm Low-Rank Matrix Factorization by Variational Bayesian Method
by Qian Zhao and Deyu Meng and Zongben Xu and Wangmeng Zuo and Yan Yan
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 04/2015, Volume 26, Issue 4, p. 825
  The [Formula Omitted]-norm low-rank matrix factorization (LRMF) has been attracting much attention due to its wide applications to computer vision and... 
Bayesian analysis
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8. Full Text TCT-608 Implementation of Bayesian Study Design in the SPYRAL HTN-OFF MED Pivotal Trial
by Böhm, Michael and Townsend, Raymond and Weber, Michael and Kandzari, David and Mahfoud, Felix and Kario, Kazuomi and Schmieder, Roland and Tsioufis, Konstantinos and DeBruin, Vanessa and Hickey, Graeme and Fahy, Martin and Pocock, Stuart
Journal of the American College of Cardiology, ISSN 0735-1097, 10/2019, Volume 74, Issue 13, pp. B597 - B597
Cardiology | Enrollments | Bayesian analysis
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9. Density Estimation on Small Data Sets
by Wei-Chia Chen and Ammar Tareen and Justin B Kinney
Physical Review Letters, ISSN 0031-9007, 10/2018, Volume 121, Issue 16, p. 160605
How might a smooth probability distribution be estimated with accurately quantified uncertainty from a limited amount of sampled data? Here we describe a... 
Uncertainty | Bayesian analysis
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10. Full Text Statistical Inference and the Replication Crisis
by Colling, Lincoln J and Szűcs, Dénes
Review of Philosophy and Psychology, ISSN 1878-5158, 11/2018
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11. Full Text SP0107 What can bayesian statistics contribute to measuring patient perspectives?
by Ritschl, V
Annals of the Rheumatic Diseases, ISSN 0003-4967, 06/2018, Volume 77, Issue Suppl 2, p. 28
Thomas Bayes (1701–1761) founded the Bayesian approach, published as “Essay Towards Solving a Problem in the Doctrine of Chances” in 1763 as a new philosophy... 
Statistics | Bayesian analysis
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12. A cautionary note on the discrete uniform prior for the binomial N
by Link, WA
Ecology, ISSN 0012-9658, 10/2013, Volume 94, Issue 10, pp. 2173 - 2179
Analysis of wildlife data frequently involves estimation of population size N based on binomial counts. Bayesian analysts often use a constant prior for N, the... 
Bayesian analysis
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13. Dynamic causal modeling suggests serial processing of tactile vibratory stimuli in the human somatosensory cortexaAn fMRI study
by Kalberlah, Christian and Villringer, Arno and Pleger, Burkhard
NeuroImage, ISSN 1053-8119, 07/2013, Volume 74, pp. 164 - 171
Sensitivity to location and frequency of tactile stimuli is a characterizing feature of human primary (S1), and secondary (S2) somatosensory cortices. Recent... 
Bayesian analysis
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14. Genomic BLUP Decoded: A Look into the Black Box of Genomic Prediction
by Habier, David and Fernando, Rohan L and Garrick, Dorian J
Genetics, ISSN 0016-6731, 07/2013, Volume 194, Issue 3, pp. 597 - 597
Genomic best linear unbiased prediction (BLUP) is a statistical method that uses relationships between individuals calculated from single-nucleotide... 
Bayesian analysis
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15. Full Text Bayesian statistical modelling, second edition
by Peter Congdon
2007, 2nd ed., ISBN 9780470018750, 598
Bayesian Analysis
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16. Full Text Things to know about Bayesian networks: Decisions under uncertainty, part 2
by Constantinou, Anthony C and Fenton, Norman
Significance, ISSN 1740-9705, 04/2018, Volume 15, Issue 2, pp. 19 - 23
Bayesian networks help us model and understand the many variables that inform our decision‐making processes. Anthony C. Constantinou and Norman Fenton explain... 
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17. Bayesian inference for bioenergetic models
by Johnson, LR and Pecquerie, L and Nisbet, RM
Ecology, ISSN 0012-9658, 04/2013, Volume 94, Issue 4, pp. 882 - 894
Dynamic energy budget (DEB) theory provides a sophisticated, mechanistic framework for understanding the full life cycles of individuals within a complex... 
Bayesian analysis
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18. Combining individual animal movement and ancillary biotelemetry data to investigate population-level activity budgets
by McClintock, BT and Russell, DJF and Matthiopoulos, J and King, R
Ecology, ISSN 0012-9658, 04/2013, Volume 94, Issue 4, pp. 838 - 849
Recent technological advances have permitted the collection of detailed animal location and ancillary biotelemetry data that facilitate inference about animal... 
Bayesian analysis
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19. Tree-structured complex wavelet-based Bayesian compressive sensing method
by Sadeghigol, Z and Kahaei, M H and Haddadi, F
Electronics Letters, ISSN 0013-5194, 11/2013, Volume 49, Issue 23, pp. 1489 - 1489
Using complex wavelets, the tree-structured complex wavelet Bayesian compressive sensing method is proposed. The hidden Markov tree is used for inter-scale... 
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20. A hierarchical optimization problem: Estimating traffic flow using Gamma random variables in a Bayesian context
by Castillo, Enrique and Menendez, Jose Maria and Sanchez-Cambronero, Santos and Calvino, Aida and Sarabia, Jose Maria
Computers & Operations Research, ISSN 0305-0548, 01/2014, Volume 41, pp. 240 - 251
In this paper a hierarchical optimization problem generated by a Bayesian method to estimate origin-destination matrices, based on Gamma models, is given. The... 
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