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20072023
most citedConsistent inference of a general model using the pseudo-likelihood method

26 citations · 139 across the 22 of their papers we have counts for

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17 papers · 1 filter

cond-mat.dis-nn2022★ 5 cited

Dynamics of sparse Boolean networks with multi-node and self-interactions

Christian John Hurry, Alexander Mozeika, Alessia Annibale

We analyse the equilibrium behaviour and non-equilibrium dynamics of sparse Boolean networks with self-interactions that evolve according to synchronous Glauber dynamics. Equilibri…

cond-mat.dis-nn2020

Replica analysis of overfitting in generalized linear models

ACC Coolen, M Sheikh, A Mozeika +2

Nearly all statistical inference methods were developed for the regime where the number of data samples is much larger than the data dimension . Inference protocols such as…

cond-mat.dis-nn2018

Replica analysis of Bayesian data clustering

Alexander Mozeika, Anthony CC Coolen

We use statistical mechanics to study model-based Bayesian data clustering. In this approach, each partition of the data into clusters is regarded as a microscopic system state, th…

cond-mat.dis-nn2017★ 4 cited

Mean-field theory of Bayesian clustering

Alexander Mozeika, Anthony CC Coolen

We show that model-based Bayesian clustering, the probabilistically most systematic approach to the partitioning of data, can be mapped into a statistical physics problem for a gas…

cond-mat.dis-nn2016★ 5 cited

The role of idiotypic interactions in the adaptive immune system: a belief-propagation approach

Silvia Bartolucci, Alexander Mozeika, Alessia Annibale

In this work we use belief-propagation techniques to study the equilibrium behaviour of a minimal model for the immune system comprising interacting T and B clones. We investigate…

cond-mat.dis-nn2016★ 1 cited

Statistical mechanics of clonal expansion in lymphocyte networks modelled with slow and fast variables

Alexander Mozeika, Anthony CC Coolen

We study the Langevin dynamics of the adaptive immune system, modelled by a lymphocyte network in which the B cells are interacting with the T cells and antigen. We assume that B c…

cond-mat.dis-nn2014

Spin systems on hypercubic Bethe lattices: A Bethe-Peierls approach

Alexander Mozeika, Anthony CC Coolen

We study spin systems on Bethe lattices constructed from d-dimensional hypercubes. Although these lattices are not tree-like, and therefore closer to real cubic lattices than Bethe…

cond-mat.dis-nn2014★ 26 cited

Consistent inference of a general model using the pseudo-likelihood method

Alexander Mozeika, Onur Dikmen, Joonas Piili

Recently maximum pseudo-likelihood (MPL) inference method has been successfully applied to statistical physics models with intractable likelihoods. We use information theory to der…

cond-mat.dis-nn2013

Projected generalized free energies for non-equilibrium states

Alexander Mozeika

We develop a systematic procedure to approximate generalized free energy in out of equilibrium stochastic systems. The procedure only requires knowledge of the averages of macrosco…

cond-mat.dis-nn2012

On reliable computation by noisy random Boolean formulas

Alexander Mozeika, David Saad

We study noisy computation in randomly generated k-ary Boolean formulas. We establish bounds on the noise level above which the results of computation by random formulas are not re…

cond-mat.dis-nn2012

Islands of equilibrium in a dynamical world

David Saad, Alexander Mozeika

Many natural, technological and social systems are inherently not in equilibrium. We show, by detailed analysis of exemplar models, the emergence of equilibrium-like behavior in lo…

cond-mat.dis-nn2011★ 3 cited

Phase transitions and memory effects in the dynamics of Boolean networks

Alexander Mozeika, David Saad

The generating functional method is employed to investigate the synchronous dynamics of Boolean networks, providing an exact result for the system dynamics via a set of macroscopic…

cond-mat.dis-nn2011★ 11 cited

Dynamics of Boolean networks - an exact solution

Alexander Mozeika, David Saad

The dynamics of Boolean networks (BN) with quenched disorder and thermal noise is studied via the generating functional method. A general formulation, suitable for BN with any dist…

cond-mat.dis-nn2010★ 23 cited

Noisy Random Boolean Formulae - a Statistical Physics Perspective

Alexander Mozeika, David Saad, Jack Raymond

Typical properties of computing circuits composed of noisy logical gates are studied using the statistical physics methodology. A growth model that gives rise to typical random Boo…

cond-mat.dis-nn2009★ 13 cited

Computing with Noise - Phase Transitions in Boolean Formulas

Alexander Mozeika, David Saad, Jack Raymond

Computing circuits composed of noisy logical gates and their ability to represent arbitrary Boolean functions with a given level of error are investigated within a statistical mech…

cond-mat.dis-nn2009★ 18 cited

Dynamical replica analysis of processes on finitely connected random graphs II: Dynamics in the Griffiths phase of the diluted Ising ferromagnet

A. Mozeika, A. C. C. Coolen

We study the Glauber dynamics of Ising spin models with random bonds, on finitely connected random graphs. We generalize a recent dynamical replica theory with which to predict the…

cond-mat.dis-nn2007★ 16 cited

Dynamical replica analysis of processes on finitely connected random graphs I: vertex covering

A. Mozeika, A. C. C. Coolen

We study the stochastic dynamics of Ising spin models with random bonds, interacting on finitely connected Poissonnian random graphs. We use the dynamical replica method to derive…