Search Results - "Statistics & Probability"

eBook

Stochastic Models in Reliability Engineering

by Cui, Lirong Frenkel, Ilia Lisnianski, Anatoly
29.07.2020

“...This book is a collective work by many leading scientists, analysts, mathematicians, and engineers who have been working at the front end of reliability...”

Journal Article

Modelling, Bayesian inference, and model assessment for nosocomial pathogens using whole‐genome‐sequence data

by Cassidy, Rosanna Kypraios, Theodore O'Neill, Philip D Published in Statistics in Medicine (06.03.2020)

“...Whole genome sequencing of pathogens in outbreaks of infectious disease provides the potential to reconstruct transmission pathways and enhance the information...”

Journal Article

Smoothed time‐dependent receiver operating characteristic curve for right censored survival data

by Beyene, Kassu Mehari El Ghouch, Anouar Published in Statistics in Medicine (2020)

“...The prediction reliability is of primary concern in many clinical studies when the objective is to develop new predictive models or improve existing risk...”

Journal Article

Emergence of Compositional Representations in Restricted Boltzmann Machines

by Tubiana, J Monasson, R Published in Physical review letters (31.03.2017)

“...Extracting automatically the complex set of features composing real high-dimensional data is crucial for achieving high performance in machine-learning tasks...”

Fulltext

Book

Gini inequality index: methods and applications
First edition

by Mukhopadhyay, Nitis Sengupta, Partha Pratim
edited by Mukhopadhyay, Nitis ¬[Herausgeber] Sengupta, Partha Pratim ¬[Herausgeber]

2021

“..."Gini Coefficient or Gini Index was originally defined as a standardized measure of statistical dispersion intended to understand an income distribution. It...”

Holdings Uni Bonn

Journal Article

An amplitude-frequency study of turbulent scaling intermittency using Empirical Mode Decomposition and Hilbert Spectral Analysis

by Huang, Y. X Schmitt, F. G Lu, Z. M Liu, Y. L Published in Europhysics letters (01.11.2008)

“...Hilbert-Huang transform is a method that has been introduced recently to decompose nonlinear, nonstationary time series into a sum of different modes, each one...”

Fulltext

Book

An introduction to nonparametric statistics
First edition

by Kolassa, John E
2021

“..."This book presents the theory and practice of non-parametric statistics, with an emphasis on motivating principals. The course is a combination of traditional...”

Holdings Uni Bonn

Journal Article

A generalized asymmetric exclusion process with Uq(sl2) stochastic duality

by Carinci, Gioia Giardinà, Cristian Redig, Frank Sasamoto, Tomohiro
05.11.2015

“...We study a new process, which we call ASEP(q, j ), where particles move asymmetrically on a one-dimensional integer lattice with a bias determined by q ? (0,...”

Journal Article

Multifractal methodology

by Salat, Hadrien Murcio, Roberto Arcaute, Elsa Published in Physica A (01.05.2017)

“...Various methods have been developed independently to study the multifractality of measures in many different contexts. Although they all convey the same...”

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Journal Article

Some perspectives on inference and asymptotic analysis in high dimensions

by Battey, H Cox, DR
03.03.2021

“...With very large amounts of data, important aspects of statistical analysis may appear largely descriptive in that the role of probability sometimes seems...”

Journal Article

Role of City Texture in Urban Heat Islands at Nighttime

by Sobstyl, J M Emig, T Qomi, M J Abdolhosseini Ulm, F-J Pellenq, R J-M Published in Physical review letters (09.03.2018)

“...An urban heat island (UHI) is a climate phenomenon that results in an increased air temperature in cities when compared to their rural surroundings. In this...”

eBook

Semiparametric Odds Ratio Model and Its Applications

by Hua Yun Chen
20.12.2021

“...Beginning with familiar models and moving onto advanced semiparametric modelling tools Semiparametric Odds Ratio Model and its Applications introduces readers...”

Journal Article

R-squared for Bayesian Regression Models

by Gelman, Andrew Goodrich, Ben Gabry, Jonah Vehtari, Aki Published in The American statistician (03.07.2019)

“...The usual definition of R 2 (variance of the predicted values divided by the variance of the data) has a problem for Bayesian fits, as the numerator can be...”

Journal Article

Statistical physics and representations in real and artificial neural networks

by Cocco, S Monasson, R Posani, L Rosay, S Tubiana, J Published in Physica A (15.08.2018)

“...This document presents the material of two lectures on statistical physics and neural representations, delivered by one of us (R.M.) at the Fundamental...”

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