Results 101 to 110 of about 13,727 (246)

The negative binomial distribution

, 1960
This thesis is an extensive review of the major literature dealing with the negative binomial distribution. An account of the forms of the distribution is presented.
Bartko, John Jaroslav
core  

Estudio de homogeneidad de la dispersión en diseño a una vía de clasificación para datos de proporciones y conteos

Revista Colombiana de Estadística, 2009
En el modelamiento de datos donde se evidencia la presencia de sobredispersión, usualmente se asume que para todos los efectos de tratamiento el parámetro de sobredispersión es común.
MARIO ALFONSO MORALES, LUIS ALBERTO LÓPEZ   +1 more
doaj  

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

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

Option Implied Risk-Neutral Distributions and Implied Binomial Trees: A Literature Review

In this selective literature review, we start by observing that in efficient markets, there is information incorporated in option prices that might help us to design option pricing models.
Jackwerth, Jens Carsten
core  

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

Estimating survival rates in ecological studies with small unbalanced sample sizes: an alternative Bayesian point estimator [PDF]

Computational Ecology and Software, 2011
Increasingly, the survival rates in experimental ecology are presented using odds ratios or log response ratios, but the use of ratio metrics has a problem when all the individuals have either died or survived in only one replicate.
Christian Damgaard, Adeline Fayolle
doaj  

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

The Binomial Distribution The Binomial and Sign Tests 1 Overview

, 2008
The binomial distribution models repeated choices between two alternatives. For example, it will give the probability of obtaining 5 Tails when tossing 10 coins or the probability for a rat to choose 10 times out of 20 the correct branch of a 3-branch ...
Hervé Abdi
core  

Application of binomial distribution-based statistical process control method in blood quality control

Zhongguo shuxue zazhi
Objective This study endeavors to introduce the statistical process control (SPC) method to analyze the quality control index concerning red blood cells in additive solution with leukocytes reduced, with the aspiration to advance the effective ...
Xingchen LIU, Huayou DAI, Junhong YANG, Danli CUI, Siqi WU, Pengwei YIN, Xia HUANG, Yongzhu XU   +7 more
doaj   +1 more source

An Integrated and Robust Deep Learning Framework for Denoising and Analyzing Single‐Cell Spatial Transcriptomics

Advanced Intelligent Systems, EarlyView.
Single‐cell Spatial Transcriptomics Analysis and Denoising Engine is introduced as a unified deep learning framework that jointly performs denoising, clustering, and gene prioritization in spatial transcriptomics. By integrating linear and nonlinear representations within a dual‐channel architecture, it improves robustness and accuracy, uncovers ...
Yaxuan Cui, Yang Cui, Ruheng Wang, Xin Zeng, Zheyong Zhu, Ding Yi, Ruihua Guo, Tetsuya Sakurai, Kenta Nakai, Xiucai Ye, Leyi Wei, Yong Chen   +11 more
wiley   +1 more source