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20102026
most citedBayesian latent time joint mixed effect models for multicohort longitudinal data

81 citations

Showing 2017Show all

6 papers · 1 filter

math.QA2017

Semidual Kitaev lattice model and tensor network representation

Florian Girelli, Prince K. Osei, Abdulmajid Osumanu

Kitaev's lattice models are usually defined as representations of the Drinfeld quantum double , as an example of a double cross product quantum group…

cs.IT2017★ 2 cited

Local Large deviation: A McMillian Theorem for Coloured Random Graph Processes

Kwabena Doku-Amponsah

For a finite typed graph on nodes and with type law we define the so-called spectral potential of the graph.From the we obtain Kullb…

cs.IT2017★ 2 cited

Lossy Asymptotic Equipartition Property For Geometric Networked Data Structures

Kwabena Doku-Amponsah

This article extends the Generalized Asypmtotic Equipartition Property of Networked Data Structures to cover the Wireless Sensor Network modelled as coloured geometric random graph…

stat.AP2017★ 81 cited

Bayesian latent time joint mixed effect models for multicohort longitudinal data

Dan Li, Samuel Iddi, Wesley K. Thompson +1

Characterization of long-term disease dynamics, from disease-free to end-stage, is integral to understanding the course of neurodegenerative diseases such as Parkinson's and Alzhei…

math.CA2017

Weighted boundedness of maximal functions and fractional Bergman operators

Benoît F. Sehba

The aim of this paper is to study two-weight norm inequalities for fractional maximal functions and fractional Bergman operator defined on the upper-half space. Namely, we characte…

math.CA2017★ 2 cited

Maximal functions and measures on the upper-half plane

Benoît F. Sehba

We study weighted boundedness of Hardy-Littlewood-type maximal function involving Orlicz functions. We also obtain some sufficient conditions for the weighted boundedness of the Ha…