Encoding the Laplace transform of stimulus history using mechanisms for persistent firing [PDF]
Tiganj Z, Shankar K, Howard M.
europepmc +1 more source
ABSTRACT We study optimal simple rating systems that partition sellers into a finite number of tiers. We show that optimal ratings must be threshold partitions, and that for linear supply and Cournot competition with constant marginal cost, optimal thresholds solve a k‐means clustering problem requiring only the quality distribution.
Hugo Hopenhayn, Maryam Saeedi
wiley +1 more source
New solutions of multidimensional fuzzy fractional coupled Burgers systems via He Laplace Carson algorithm. [PDF]
Qayyum M +6 more
europepmc +1 more source
Stabilization of the inverse Laplace transform of multiexponential decay through introduction of a second dimension. [PDF]
Celik H +4 more
europepmc +1 more source
Markov Determinantal Point Process for Dynamic Random Sets
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley +1 more source
A semi-analytical approach for solving a fractional-order mathematical model of skin cell damage and repair driven by environmental pollutants. [PDF]
Alchikh R, Fayyad-Kazan M, Khuri SA.
europepmc +1 more source
Robust CDF‐Filtering of a Location Parameter
ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania +2 more
wiley +1 more source
Hydroelastic waves induced by initial disturbances in ice-covered waters with currents. [PDF]
Prasad IM, Behera H.
europepmc +1 more source
Empirical‐Process Limit Theory and Filter Approximation Bounds for Score‐Driven Time Series Models
ABSTRACT This article examines the filtering and approximation‐theoretic properties of score‐driven time series models. Under specific Lipschitz‐type and tail conditions, new results are derived, leading to maximal and deviation inequalities for the filtering approximation error using empirical process theory.
Enzo D'Innocenzo
wiley +1 more source
Generalized Euler method to study the vaccination effects on dynamics of measles infection model under non-singular kernel. [PDF]
Yadav LK +4 more
europepmc +1 more source

