Results 111 to 120 of about 1,044,082 (362)
Multivariate-From-Univariate MCMC Sampler: The R Package MfUSampler
Journal of Statistical Software, 2017 The R package MfUSampler provides Markov chain Monte Carlo machinery for generating samples from multivariate probability distributions using univariate sampling algorithms such as the slice sampler and the adaptive rejection sampler.
Alireza S. Mahani +1 more
doaj +1 more source
Experimental Joint Estimation of Phase and Phase Diffusion Via Deterministic Bell Measurements
Advanced Science, EarlyView.This work employs Bell measurement, a form of entangling measurement, to estimate both the phase and its fluctuations in an optical interferometer. By incorporating a novel quantum effect at the measurement stage, the proposed method achieves the ultimate precision limit and demonstrates the significant potential of entangling measurements in multi ...
Ben Wang +4 more
wiley +1 more source
Energies, 2018 Most of the current algorithms used to solve the optimal configuration problem in the distributed generation (DG) of electricity depend heavily on control parameters, which may lead to local optimal solutions.
Lei Yang +3 more
doaj +1 more source
Hydrology Research, 2020 Under changing environment, the feasibility and potential impact of an inter-basin water transfer project can be evaluated by employing the coincidence probability of runoff in water sources area (WSA), water receiving area (WRA), and the downstream ...
Xingchen Wei +5 more
doaj +1 more source
The Bernstein-Von Mises Theorem in Semiparametric Competing Risks Models [PDF]
Semiparametric Bayesian models are nowadays a popular tool in survival analysis. An important area of research concerns the investigation of frequentist properties of these models.
Nils L. Hjort, Pierpaolo De Blasi
core
Relations Between Conditional Shannon Entropy and Expectation of $\ell_{\alpha}$-Norm
, 2016 The paper examines relationships between the conditional Shannon entropy and the expectation of $\ell_{\alpha}$-norm for joint probability distributions.
Iwata, Ken-ichi, Sakai, Yuta
core +1 more source
Artificial Intelligence Revolution in Transcriptomics: From Single Cells to Spatial Atlases
Advanced Science, EarlyView.Single‐cell RNA sequencing and spatial transcriptomics have unveiled cellular heterogeneity and tissue organization with unprecedented resolution. Artificial intelligence (AI) now plays a pivotal role in interpreting these complex data. This review systematically surveys AI applications across the entire analytic workflow and offers practical guidance ...
Shixin Li +7 more
wiley +1 more source
Demonstratio Mathematica, 1986 Suppose three square integrable random variables X,Y,Z are given. The problem considered in the paper is how well the conditional expectation \(E(X| Y+\epsilon Z)\) can be approximated as \(\epsilon\to 0\) by expressions of the form \(m(Y+\epsilon Z)+\epsilon b(Y+\epsilon Z)+o(\epsilon)\), where \(m(y)=E(X| Y=y)\) and b(.) is some measurable function ...
openaire +2 more sources
Advanced Science, EarlyView.This study introduces stVGP, a variational spatial Gaussian process framework for multi‐modal, multi‐slice spatial transcriptomics. By integrating histological and genomic data through hybrid alignment and attention‐based fusion, stVGP reconstructs coherent 3D functional landscapes.
Zedong Wang +3 more
wiley +1 more source
EkonometriaAim: The article considers the time series case of the closing prices of the S&P500 index over the period from January 2020 to April 2021. The author selected the best ARMA(p,q)-GARCH(1,1) models with different forms of probability density functions. The
Damian Wiśniewski
doaj +1 more source