Results 121 to 130 of about 4,621 (238)

Mathematical Analysis for a Class of Stochastic Copolymerization Processes. [PDF]

Bull Math Biol
Anderson DF, Ma J, Gagrani P.
europepmc   +1 more source

Some Order Preserving Inequalities for Cross Entropy and Kullback-Leibler Divergence. [PDF]

Entropy (Basel), 2018
Sbert M, Chen M, Poch J, Bardera A.
europepmc   +1 more source

On Metric Choice in Dimension Reduction for Fréchet Regression

International Statistical Review, EarlyView.
Summary Fréchet regression is becoming a mainstay in modern data analysis for analysing non‐traditional data types belonging to general metric spaces. This novel regression method is especially useful in the analysis of complex health data such as continuous monitoring and imaging data.
Abdul‐Nasah Soale, Congli Ma, Siyu Chen, Obed Koomson   +3 more
wiley   +1 more source

Evolutionary accumulation modeling in AMR: machine learning to infer and predict evolutionary dynamics of multi-drug resistance. [PDF]

mBio
Renz J, Dauda KA, Aga ONL, Diaz-Uriarte R, Löhr IH, Blomberg B, Johnston IG.   +6 more
europepmc   +1 more source

Estimating Velocities of Infectious Disease Spread Through Spatio‐Temporal Log‐Gaussian Cox Point Processes

International Statistical Review, EarlyView.
Summary Understanding the spread of infectious diseases such as COVID‐19 is crucial for informed decision‐making and resource allocation. A critical component of disease behaviour is the velocity with which disease spreads, defined as the rate of change between time and space.
Fernando Rodriguez Avellaneda, Jorge Mateu, Paula Moraga   +2 more
wiley   +1 more source

Ordinal pattern-based change point detection. [PDF]

Test (Madr)
Betken A, Micali G, Schmidt-Hieber J.
europepmc   +1 more source

Dynamics of gene regulatory networks and their dependence on network topology and quantitative parameters - the case of phage λ. [PDF]

BMC Bioinformatics, 2019
Ruklisa D, Brazma A, Cerans K, Schlitt T, Viksna J.   +4 more
europepmc   +1 more source

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

International Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri, Bernardo Nipoti, Emilio Porcu, Philip White   +3 more
wiley   +1 more source

Unique Information Through the Lens of Channel Ordering: An Introduction and Review. [PDF]

Entropy (Basel)
Banerjee PK.
europepmc   +1 more source

The Ordering of Shannon Entropies for the Multivariate Distributions and Distributions of Eigenvalues. [PDF]

Entropy (Basel), 2019
Tsai MT, Hsu FJ, Tsai CH.
europepmc   +1 more source