Results 71 to 80 of about 97,680 (303)

Some Applications of Bayes' Rule in Probability Theory to Electrocatalytic Reaction Engineering

International Journal of Electrochemistry, 2011
Bayesian methods stem from the principle of linking prior probability and conditional probability (likelihood) to posterior probability via Bayes' rule.
Thomas Z. Fahidy
doaj   +1 more source

Conditional Frequentist Test on Normal Mean Parameter and its application in entomological data

Semina: Ciências Exatas e Tecnológicas, 2014
In the traditional tests the value of type I error (α) is fixed, on the other hand, in the conditional frequentist test we propose a partition of the region of rejection and acceptance so that the probability of error presented is dependent on the ...
Carla R. G. Brighenti, Thelmo G. S. Oliveira, Deodoro M. Brighenti   +2 more
doaj   +1 more source

Conditional Constrained and Unconstrained Quantization for Probability Distributions

In this paper, we introduce and develop the concept of conditional quantization for Borel probability measures on $\mathbb{R}^k,$ considering both constrained and unconstrained frameworks. For each setting, we define the associated quantization errors, dimensions, and coefficients, and provide explicit computations for specific classes of probability ...
Pandey, Megha, Roychowdhury, Mrinal Kanti   +1 more
openaire   +2 more sources

TRAP5 Inhibition Targeting Scar‐Associated Macrophages Ameliorates Acute Kidney Injury to Chronic Kidney Disease Transition

Advanced Science, EarlyView.
This study delineates macrophage heterogeneity along the acute kidney injury to chronic kidney disease transition. Single‐cell RNA sequencing reveals a TRAP5+ scar‐associated macrophage subset driven by Spp1–Cd44 signaling and mitochondrial metabolic reprogramming.
Chenxi Wang, Yaodong Gu, Wen Du, Lin Xie, Jinwei Quan, Yu Zhao, Ye Cheng, Zhaonan Wei, Yuanyuan Sha, Yi Wang, Dechao Xu, Xiang Gao, Min Chen, Xiangchen Gu   +13 more
wiley   +1 more source

Learnable Diffusion Framework for Mouse V1 Neural Decoding

Advanced Science, EarlyView.
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng, Peter S. Schwendeman, Yuanfang Guan   +2 more
wiley   +1 more source

Portfolio formation based on risk-adjusted performance and distribution-based returns using data envelopment analysis [PDF]

تصمیم گیری و تحقیق در عملیات
Purpose: This research aims to construct a portfolio based on risk-adjusted performance and distribution-based returns and determine the efficiency using the Data Envelopment Analysis (DEA) approach.
Hosseinali Heydarzadeh, Fereydon Rahnamay Roodposhti, Alireza Rashidi Komijan, Seyyed Esmaeil Najafi   +3 more
doaj   +1 more source

Reconstructing Coherent Functional Landscape From Multi‐Modal Multi‐Slice Spatial Transcriptomics by a Variational Spatial Gaussian Process

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, Bowen Fu, Chuanchao Zhang, Xiaoping Liu   +3 more
wiley   +1 more source

Conditional Measures on MV-algebras

Advances in Electrical and Electronic Engineering, 2004
In recent years many papers have been written generalizing some theorems, known from the Kolmogorovian probability theory, to MV-algebras. To achieve such results, so-called product MV-algebras were introduced and, using the product, the joint ...
Martin Kalina, Olga Nanasiova
doaj  

Conditional Optimal Sets and the Quantization Coefficients for Some Uniform Distributions

Mathematics
Bucklew and Wise (1982) showed that the quantization dimension of an absolutely continuous probability measure on a given Euclidean space is constant and equals the Euclidean dimension of the space, and the quantization coefficient exists as a finite ...
Evans Nyanney, Megha Pandey, Mrinal Kanti Roychowdhury   +2 more
doaj   +1 more source

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, Mansour T. A. Sharabiani   +1 more
doaj   +1 more source