Results 21 to 30 of about 2,663,278 (338)
Non‐conjugate prior distribution assessment for multivariate normal sampling [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2001 Summary Elicitation methods are proposed for quantifying expert opinion about a multivariate normal sampling model. The natural conjugate prior family imposes a relationship between the mean vector and the covariance matrix that can portray an expert's opinion poorly.
P. Garthwaite, S. Al-Awadhi
semanticscholar +3 more sources
IEEE Access, 2020 This paper proposes a robust Poisson multi-Bernoulli mixture (PMBM) filter with inaccurate process and measurement noise covariances. A derivation of the robust PMBM filter is provided for jointly estimating the kinematic state, the predicted state ...
Wenjuan Li, Hong Gu, Weimin Su
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Test-Time Adaptation via Conjugate Pseudo-labels [PDF]
Neural Information Processing Systems, 2022 Test-time adaptation (TTA) refers to adapting neural networks to distribution shifts, with access to only the unlabeled test samples from the new domain at test-time.
Sachin Goyal +3 more
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ANALISIS SURVIVAL UNTUK PARAMETER SKALA DARI DISTRIBUSI WEIBULL MENGGUNAKAN MLE DAN METODE BAYESIAN
Barekeng, 2021 Modeling of survival data is necessary and important to do. Survival data is generally assumed to have a Weibull distribution. Bayesian approach has been implemented to estimate the parameter in such this survival analysis. This study purposes to compare
Ferra Yanuar +2 more
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A channel-based perspective on conjugate priors [PDF]
Mathematical Structures in Computer Science, 2020 AbstractA desired closure property in Bayesian probability is that an updated posterior distribution be in the same class of distributions – say Gaussians – as the prior distribution. When the updating takes place via a statistical model, one calls the class of prior distributions the ‘conjugate priors’ of the model.
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Conjugate priors and bias reduction for logistic regression models
Statistics & Probability Letters, 2022 Logistic regression models for binomial responses are routinely used in statistical practice. However, the maximum likelihood estimate may not exist due to data separability. We address this issue by considering a conjugate prior penalty which always produces finite estimates.
Rigon T., Aliverti E.
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Conjugate Priors for Exponential Families
The Annals of Statistics, 1979 Let $X$ be a random vector distributed according to an exponential family with natural parameter $\theta \in \Theta$. We characterize conjugate prior measures on $\Theta$ through the property of linear posterior expectation of the mean parameter of $X : E\{E(X|\theta)|X = x\} = ax + b$.
Diaconis, Persi, Ylvisaker, Donald
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Vaccination in Kidney Transplant Candidates
Transplantation Direct, 2023 Background:. Kidney transplant (KT) candidates have historically low immunization rates against recommended vaccines. A retrospective single-center study of contemporary KT candidates was conducted to assess vaccination rates and vaccine uptake. Methods:.
Kiran Gajurel, MD +3 more
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Approximating Priors by Mixtures of Natural Conjugate Priors
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1983 SUMMARY The purpose of this paper is twofold: First, to show that a natural enlargement of the class of natural conjugate priors–namely, mixtures of natural conjugate priors–also leads to mathematically tractable solutions. Secondly, to show that this enlargement is “adequate” in that any prior may be arbitrarily closely approximated by ...
Dalal, S. R., Hall, W. J.
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Mathematical modelling long-term effects of replacing Prevnar7 with Prevnar13 on invasive pneumococcal diseases in England and Wales. [PDF]
PLoS ONE, 2012 England and Wales recently replaced the 7-valent pneumococcal conjugate vaccine (PCV7) with its 13-valent equivalent (PCV13), partly based on projections from mathematical models of the long-term impact of such a switch compared to ceasing pneumococcal ...
Yoon Hong Choi +4 more
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