Results 41 to 50 of about 5,420,390 (236)
Baseline Methods for the Parameter Estimation of the Generalized Pareto Distribution
Entropy, 2022 In the parameter estimation of limit extreme value distributions, most employed methods only use some of the available data. Using the peaks-over-threshold method for Generalized Pareto Distribution (GPD), only the observations above a certain threshold ...
Jacinto Martín +3 more
doaj +1 more source
Metropolis-Hastings algorithm for extracting periodic gravitational wave signals from laser interferometric detector data [PDF]
, 2004 The Markov chain Monte Carlo methods offer practical procedures for detecting signals characterized by a large number of parameters and under conditions of low signal-to-noise ratio.
N. Christensen +3 more
semanticscholar +1 more source
Bayesian Estimation of the DINA Model With Pólya-Gamma Gibbs Sampling
Frontiers in Psychology, 2020 With the increasing demanding for precision of test feedback, cognitive diagnosis models have attracted more and more attention to fine classify students whether has mastered some skills.
Zhaoyuan Zhang +3 more
doaj +1 more source
Bayesian Adaptive Lasso for the Partial Functional Linear Spatial Autoregressive Model
Journal of Mathematics, 2022 This study introduces a partial functional linear spatial autoregressive model which can explore the relationship between a scalar spatially dependent response variable and predictive variables containing both multiple scalar covariates and a functional ...
Dengke Xu, Ruiqin Tian, Ying Lu
doaj +1 more source
Does waste-recycling really improve Metropolis-Hastings Monte Carlo algorithm? [PDF]
, 2009 The Metropolis Hastings algorithm and its multi-proposal extensions are aimed at the computation of the expectation $$ of a function $f$ under a probability measure $\pi$ difficult to simulate.
Delmas, Jean-François +1 more
core +4 more sources
Adaptive independent Metropolis--Hastings
, 2009 We propose an adaptive independent Metropolis--Hastings algorithm with the ability to learn from all previous proposals in the chain except the current location. It is an extension of the independent Metropolis--Hastings algorithm.
Hauge, Ragnar +2 more
core +1 more source
Hidden Markov Quantile Models With Trends for Analysing Air Temperature Data
International Journal of Climatology, EarlyView.There is the question of whether climate change, expressed by time‐trends in temperature, is of a heterogeneous nature or not. Here, the time‐trend heterogeneity argument has been investigated using Hidden Markov (HM) quantile time‐trends models in temperature time series.
Georgios Tsiotas +2 more
wiley +1 more source
Lung Cancer Pathological Image Analysis Using a Hidden Potts Model
Cancer Informatics, 2017 Nowadays, many biological data are acquired via images. In this article, we study the pathological images scanned from 205 patients with lung cancer with the goal to find out the relationship between the survival time and the spatial distribution of ...
Qianyun Li +4 more
doaj +1 more source
People and Nature, EarlyView.Abstract The societal and biophysical permeability across human‐demarcated jurisdictions within watersheds necessitates collaboration among administrative regions. The effectiveness of such collaboration is partly determined by the degree to which institutional arrangements align with underlying social and ecological interdependencies, a concept ...
Fang Wang +3 more
wiley +1 more source
Bayesian Estimation for the Centered Parameterization of the Skew-Normal Distribution
Revista Colombiana de Estadística, 2017 The skew-normal (SN) distribution is a generalization of the normal distribution, where a shape parameter is added to adopt skewed forms. The SN distribution has some of the properties of a univariate normal distribution, which makes it very attractive ...
PAULINO PéREZ-RODRíGUEZ +3 more
doaj +1 more source