Bayesian estimation and prediction for the transformed Wiener degradation process
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DOI: 10.1002/asmb.2522
Abstract: This paper proposes some Bayesian inferential procedures for the transformed Wiener (TW) process, a new degradation process that has been recently suggested in the literature to describe degradation phenomena where degradation increments are not necessarily… read more here.
Keywords: degradation; estimation prediction; degradation process; process ... See more keywords
Bayesian estimation of heterogeneous environments from animal movement data
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DOI: 10.1002/env.2679
Abstract: We describe a flexible class of stochastic models that aim to capture key features of realistic patterns of animal movements observed in radio‐tracking and global positioning system telemetry studies. In the model, movements are represented… read more here.
Keywords: environments animal; movement; estimation heterogeneous; heterogeneous environments ... See more keywords
Bayesian Estimation of Hierarchical Linear Models From Incomplete Data: Cluster‐Level Interaction Effects and Small Sample Sizes
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DOI: 10.1002/sim.70051
Abstract: We consider Bayesian estimation of a hierarchical linear model (HLM) from partially observed data, assumed to be missing at random, and small sample sizes. A vector of continuous covariates C$$ C $$ includes cluster‐level partially… read more here.
Keywords: estimation hierarchical; bayesian estimation; small sample; estimation ... See more keywords
Bayesian estimation in random effects meta-analysis using a non-informative prior.
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DOI: 10.1002/sim.7156
Abstract: Pooling information from multiple, independent studies (meta-analysis) adds great value to medical research. Random effects models are widely used for this purpose. However, there are many different ways of estimating model parameters, and the choice… read more here.
Keywords: analysis; non informative; random effects; bayesian estimation ... See more keywords
Bayesian estimation of bidding process and bidder’s preference under shape restrictions
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DOI: 10.1007/s00181-020-01932-1
Abstract: This paper applies a novel nonparametric estimator to the modeling of auctions subject to shape restrictions. In particular, we employ a Bayesian estimator with a Gaussian process prior parameterized by a spectral representation. We use… read more here.
Keywords: estimation; shape; shape restrictions; bayesian estimation ... See more keywords
Bayesian estimation of the long-run trend of the US economy
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DOI: 10.1007/s00181-021-02024-4
Abstract: The main purpose of this paper is to scrutinize the long-run trend of the US real GDP during the post-war period. In the empirical analysis, we introduce multivariate unobserved components models that accommodate time-varying volatility… read more here.
Keywords: real gdp; estimation long; bayesian estimation; long run ... See more keywords
A general guide in Bayesian and robust Bayesian estimation using Dirichlet processes
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DOI: 10.1007/s00184-019-00737-2
Abstract: In this paper, we investigate Bayesian and robust Bayesian estimation of a wide range of parameters of interest in the context of Bayesian nonparametrics under a broad class of loss functions. Dealing with uncertainty regarding… read more here.
Keywords: dirichlet; bayesian estimation; robust bayesian; general guide ... See more keywords
Bayesian Estimation of Large Precision Matrix Based on Cholesky Decomposition
Sign Up to like & getrecommendations! Published in 2019 at "Acta Mathematica Sinica, English Series"
DOI: 10.1007/s10114-019-7326-8
Abstract: In this paper, we consider the estimation of a high dimensional precision matrix of Gaussian graphical model. Based on the re-parameterized likelihood, we obtain the full conditional distribution of all parameters in Cholesky factor. Furthermore,… read more here.
Keywords: large precision; bayesian estimation; precision matrix; precision ... See more keywords
Empirical Bayesian Estimation in the Model of Competing Risks
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DOI: 10.1007/s10958-017-3579-x
Abstract: We study empirical semi-parametric Bayesian estimates of exponential functionals in the model of competing risks. For these estimates we establish the properties of the uniform strong consistency and iterated logarithm type laws. read more here.
Keywords: estimation model; bayesian estimation; competing risks; empirical bayesian ... See more keywords
Bayesian estimation of the latent dimension and communities in stochastic blockmodels
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DOI: 10.1007/s11222-020-09946-6
Abstract: Spectral embedding of adjacency or Laplacian matrices of undirected graphs is a common technique for representing a network in a lower dimensional latent space, with optimal theoretical guarantees. The embedding can be used to estimate… read more here.
Keywords: dimension; latent dimension; estimation latent; bayesian estimation ... See more keywords
Bayesian estimation to deconvolute single-particle ICP-MS data with a mixed Poisson distribution
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DOI: 10.1039/d3ja00220a
Abstract: Single-particle ICP-MS (spICP-MS) is an established method for the determination of inorganic nanoparticle (NP) mass distributions and particle number concentrations. However, spICP-MS is difficult to apply in some cases, especially... read more here.
Keywords: particle icp; bayesian estimation; single particle; estimation deconvolute ... See more keywords