Results 31 to 40 of about 44,758 (308)
Efficient Bayesian Inverse Modeling of Water Infiltration in Layered Soils
Vadose Zone Journal, 2019 Modeling water movement in heterogeneous soils, e.g., layered soils, is an essential but challenging task that requires accurate estimation of multiple sets of soil hydraulic parameters.
Hongbei Gao +6 more
doaj +1 more source
Orthogonal parallel MCMC methods for sampling and optimization [PDF]
Digital Signal Processing, 2016 Monte Carlo (MC) methods are widely used for Bayesian inference and optimization in statistics, signal processing and machine learning. A well-known class of MC methods are Markov Chain Monte Carlo (MCMC) algorithms. In order to foster better exploration of the state space, specially in high-dimensional applications, several schemes employing multiple ...
Luca Martino +4 more
openaire +4 more sources
Markov chain Monte Carlo methods for state-space models with point process observations [PDF]
, 2012 This letter considers how a number of modern Markov chain Monte Carlo (MCMC) methods can be applied for parameter estimation and inference in state-space models with point process observations.
Niranjan, Mahesan +2 more
core +1 more source
Open Research Europe, 2023 Phylogenetic estimation is, and has always been, a complex endeavor. Estimating a phylogenetic tree involves evaluating many possible solutions and possible evolutionary histories that could explain a set of observed data, typically by using a model of ...
Orlando Schwery +4 more
doaj +1 more source
Analysis of Alumni-Giving Behavior With MCMC Method
, 2021 Alumni giving has become a main source of income for many colleges and universities in the United States. In this paper, we impose a dynamic linear model to predict the alumni-giving behavior by capturing the dynamic of the university-alumni interactions
Li, Yusi
core +1 more source
Научно-технический вестник информационных технологий, механики и оптикиIn biology, information about interactions between the proteins or genes under study can be represented as a biological graph. A connected subgraph, whose vertices perform a common biological function, is called an active module.
D. A. Usoltsev +4 more
doaj +1 more source
Friction-Identification of Harmonic Drive Joints Based on the MCMC Method
IEEE Access, 2022 Although harmonic drives have been adopted by all sorts of industrial environments, the mathematical expression of its dynamics has not yet been fully solved.
Qi Wang +5 more
doaj +1 more source
Limit theorems for sequential MCMC methods [PDF]
Advances in Applied Probability, 2020 AbstractBoth sequential Monte Carlo (SMC) methods (a.k.a. ‘particle filters’) and sequential Markov chain Monte Carlo (sequential MCMC) methods constitute classes of algorithms which can be used to approximate expectations with respect to (a sequence of) probability distributions and their normalising constants.
Finke, A, Doucet, A, Johansen, AM
openaire +4 more sources
Point Cloud Registration Based on MCMC-SA ICP Algorithm
IEEE Access, 2019 Point cloud registration is very important for workpiece positioning and error evaluation. Generally, the Iterative Closest Points (ICP) algorithm is always adopted as the first choice in fine registration, but requires a more appropriate initial ...
Haibo Liu +5 more
doaj +1 more source
Longitudinal Data Analysis Based on Bayesian Semiparametric Method
Axioms, 2023 A Bayesian semiparametric model framework is proposed to analyze multivariate longitudinal data. The new framework leads to simple explicit posterior distributions of model parameters.
Guimei Jiao +8 more
doaj +1 more source