Results 231 to 240 of about 1,251,227 (374)

Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels

open access: yesInternational Statistical Review, EarlyView.
Summary Bayesian mixture modelling is widely used for density estimation and clustering. The Dirichlet process mixture model (DPMM) is the most popular Bayesian non‐parametric mixture modelling approach. In this manuscript, we study the choice of prior for the variance or precision matrix when Gaussian kernels are adopted.
Wei Jing   +2 more
wiley   +1 more source

How Do Applied Researchers Use the Causal Forest? A Methodological Review

open access: yesInternational Statistical Review, EarlyView.
Summary This methodological review examines the use of the causal forest method by applied researchers across 133 peer‐reviewed papers. It shows that the emerging best practice relies heavily on the approach and tools created by the original authors of the causal forest such as their grf package and the approaches given by them in examples.
Patrick Rehill
wiley   +1 more source

A Comparative Review of Specification Tests for Diffusion Models

open access: yesInternational Statistical Review, EarlyView.
Summary Diffusion models play an essential role in modelling continuous‐time stochastic processes in the financial field. Therefore, several proposals have been developed in the last decades to test the specification of stochastic differential equations.
A. López‐Pérez   +3 more
wiley   +1 more source

Hose Bandwidth Allocation Method to Achieve a Minimum Throughput Assurance Service for Provider Provisioned VPNs

open access: bronze, 2008
Masayoshi Shimamura   +4 more
openalex   +2 more sources

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