LISBON - The second application period for the new Expanded Potable Water Sampling Program in Columbiana County is set to begin this week. The program will begin on Thursday, January 1, and those ...

In performing a Bayesian analysis of astronomical data, two difficult problems often emerge. First, in estimating the parameters of some model for the data, the resulting posterior distribution may be ...

Explain how and why the package falls under these categories (briefly, 1-2 sentences). Please note any areas you are unsure of: ernest is a general implementation of the nested sampling algorithm for ...

Previous high-order solvers are unstable for guided sampling: Samples use the pre-trained DPMs on ImageNet 256 256 with a classifier guidance scale 8.0, varying different samplers (and different ...

Sampling from multi-modal distributions and estimating marginal likelihoods, also known as evidences and normalizing constants, are well-known challenges in statistical computation. They can be ...

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are ...

ABSTRACT: Stable distributions are well-known for their desirable properties and can effectively fit data with heavy tail. However, due to the lack of an explicit probability density function and ...

The acceptance sampling plan (ASP) is a statistical tool used in industry for quality control to determine the quality of products by selecting a specified number for testing in order to accept or ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jctc.4c01231. Additional results on the long-time convergence of the ...

Sampling from complex probability distributions is important in many fields, including statistical modeling, machine learning, and physics. This involves generating representative data points from a ...