Results 181 to 190 of about 557,874 (331)
Abstract Remaining useful life (RUL) analysis of equipment prevents failures and assists in maintenance to address impending failures. To achieve this, the advancement of degradation can be measured through a determinant variable. This work presents a new methodology for estimating the number of remaining cycles (NRC), or RUL, of equipment in cyclic ...
Leonardo M. de Marco +2 more
wiley +1 more source
Additive functionals of Markov processes in duality [PDF]
Robert Blumenthal, R. K. Getoor
openalex +1 more source
Restricted Tweedie stochastic block models
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
On some relations between the harmonic measure and the Lévy measure for a certain class of Markov processes [PDF]
Nobuyuki Ikeda, Shinzo Watanabe
openalex +1 more source
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation
Abstract Many models require integrals of high‐dimensional functions: for instance, to obtain marginal likelihoods. Such integrals may be intractable, or too expensive to compute numerically. Instead, we can use the Laplace approximation (LA). The LA is exact if the function is proportional to a normal density; its effectiveness therefore depends on ...
Shaun McDonald, Dave Campbell
wiley +1 more source
Abstract We address the problem of regularity of solutions ui(t,x1,…,xN)$u^i(t, x^1, \ldots, x^N)$ to a family of semilinear parabolic systems of N$N$ equations, which describe closed‐loop equilibria of some N$N$‐player differential games with Lagrangian having quadratic behaviour in the velocity variable, running costs fi(x)$f^i(x)$ and final costs gi(
Marco Cirant, Davide Francesco Redaelli
wiley +1 more source
On the Iterative Method of Dynamic Programming on a Finite Space Discrete Time Markov Process [PDF]
Barry W. Brown
openalex +1 more source
Randomly sparsified Richardson iteration: A dimension‐independent sparse linear solver
Abstract Recently, a class of algorithms combining classical fixed‐point iterations with repeated random sparsification of approximate solution vectors has been successfully applied to eigenproblems with matrices as large as 10108×10108$10^{108} \times 10^{108}$. So far, a complete mathematical explanation for this success has proven elusive.
Jonathan Weare, Robert J. Webber
wiley +1 more source
On the Matrix Renewal Function for Markov Renewal Processes [PDF]
Julian Keilson
openalex +1 more source

