Results 61 to 70 of about 13,859 (206)
Advanced Intelligent Discovery, EarlyView.This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley +1 more source
“Exact” and Approximate Methods for Bayesian Inference: Stochastic Volatility Case Study
Entropy, 2021 We conduct a case study in which we empirically illustrate the performance of different classes of Bayesian inference methods to estimate stochastic volatility models.
Yuliya Shapovalova
doaj +1 more source
Pseudo-Marginal Bayesian Inference for Gaussian Processes [PDF]
, 2014 The main challenges that arise when adopting Gaussian Process priors in probabilistic modeling are how to carry out exact Bayesian inference and how to account for uncertainty on model parameters when making model-based predictions on out-of-sample data.
Filippone, Maurizio, Girolami, Mark
core +2 more sources
Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models
Applied Stochastic Models in Business and Industry, EarlyView.ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco +4 more
wiley +1 more source
Statistics in Medicine, 2018 Models of excess mortality with random effects were used to estimate regional variation in relative or net survival of cancer patients. Statistical inference for these models based on the Markov chain Monte Carlo (MCMC) methods is computationally ...
K. Seppä +5 more
semanticscholar +1 more source
Genetic susceptibility, colony size, and water temperature drive white-pox disease on the coral Acropora palmata. [PDF]
PLoS ONE, 2014 Outbreaks of coral diseases are one of the greatest threats to reef corals in the Caribbean, yet the mechanisms that lead to coral diseases are still largely unknown. Here we examined the spatial-temporal dynamics of white-pox disease on Acropora palmata
Erinn M Muller, Robert van Woesik
doaj +1 more source
Species distribution modeling with expert elicitation and Bayesian calibration
Ecography, EarlyView.Species distribution models (SDM) are key tools in ecology, conservation, and natural resources management. They are traditionally trained with data on direct species observations. However, if collecting species data is difficult or expensive, complementary information sources on species distributions are needed.
Karel Kaurila +3 more
wiley +1 more source
Bayesian joint spatio-temporal analysis of multiple diseases [PDF]
, 2019 In this paper we propose a Bayesian hierarchical spatio-temporal model for the joint analysis of multiple diseases which includes specific and shared spatial and temporal effects.
Fernández-Navarro, Pablo +4 more
core
, 2019 Spectral analysis connects graph structure to the eigenvalues and eigenvectors of associated matrices. Much of spectral graph theory descends directly from spectral geometry, the study of differentiable manifolds through the spectra of associated ...
Benson, Austin R. +2 more
core +1 more source
From duality to determinants for q-TASEP and ASEP [PDF]
, 2012 We prove duality relations for two interacting particle systems: the $q$-deformed totally asymmetric simple exclusion process ($q$-TASEP) and the asymmetric simple exclusion process (ASEP).
Borodin, Alexei +2 more
core +1 more source