Results 141 to 150 of about 210,074 (289)

Influence of wet foam incorporation on the pore structure and properties of metakaolin‐based porous geopolymers

International Journal of Applied Ceramic Technology, EarlyView.
Abstract Lightweight geopolymers are well‐suited for construction applications, including thermal and acoustic insulation panels and fire‐resistant barriers. Their porous microstructure can be tailored by incorporating gas bubbles into the fresh ceramic mixture.
Gustavo de Albuquerque Soares, Breno Parente Bezerra, Ícaro Silva Lima, Murilo Daniel de Mello Innocentini, Ana Paula da Luz   +4 more
wiley   +1 more source

Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels

International 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, Michail Papathomas, Silvia Liverani   +2 more
wiley   +1 more source

An Application to H₂ ⁺ of Laplace Type Integral Transform and its Inverse

, 1985
Miljenko Primorac, K. Kovačević
openalex   +2 more sources

Numerical Inversion of Laplace Transforms and Some Inverse Problems in Radiative Transfer [PDF]

, 1966
Richard Bellman, H. Kagiwada, Robert E. Kalaba   +2 more
openalex   +1 more source

Theories of market selection

Journal of Economic Surveys, EarlyView.
Abstract We provide a survey of the main mechanisms of market selection used in economics. We categorize existing theories into three broad classes—evolutionary selection, reduced form selection, and rational equilibrium—based on their adopted selection mechanisms.
Luca Fontanelli
wiley   +1 more source

Laplace Transform Interpretation of Differential Privacy [PDF]

arXiv
We introduce a set of useful expressions of Differential Privacy (DP) notions in terms of the Laplace transform of the privacy loss distribution. Its bare form expression appears in several related works on analyzing DP, either as an integral or an expectation.
arxiv  

Markov Determinantal Point Process for Dynamic Random Sets

Journal of Time Series Analysis, EarlyView.
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley   +1 more source

Computation of the inverse Laplace transform based on a collocation method which uses only real values

, 2006
Salvatore Cuomo, Luisa D’Amore, A. Murli, M. Rizzardi   +3 more
openalex   +1 more source

A Comparison of Some Inverse Laplace Transform Techniques for use in Circuit Design [PDF]

, 1972
Malcolm P. Atkinson, Serge Lang
openalex   +1 more source

On Bergman–Toeplitz operators in periodic planar domains

Transactions of the London Mathematical Society, Volume 12, Issue 1, December 2025.
Abstract We study spectra of Toeplitz operators Ta$T_a$ with periodic symbols in Bergman spaces A2(Π)$A^2(\Pi)$ on unbounded singly periodic planar domains Π$\Pi$, which are defined as the union of infinitely many copies of the translated, bounded periodic cell ϖ$\varpi$.
Jari Taskinen
wiley   +1 more source