Results 61 to 70 of about 28,661,875 (311)
Learning Conditional Generative Models for Temporal Point Processes
AAAI Conference on Artificial Intelligence, 2018 Estimating the future event sequence conditioned on current observations is a long-standing and challenging task in temporal analysis. On one hand for many real-world problems the underlying dynamics can be very complex and often unknown.
Shuai Xiao +6 more
semanticscholar +1 more source
Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li +6 more
wiley +1 more source
INHOMOGENEITY IN SPATIAL COX POINT PROCESSES – LOCATION DEPENDENT THINNING IS NOT THE ONLY OPTION
Image Analysis and Stereology, 2010 In the literature on point processes the by far most popular option for introducing inhomogeneity into a point process model is the location dependent thinning (resulting in a second-order intensity-reweighted stationary point process).
Michaela Prokešová
doaj +1 more source
Multivariate General Compound Point Processes in Limit Order Books
Risks, 2020 In this paper, we focus on a new generalization of multivariate general compound Hawkes process (MGCHP), which we referred to as the multivariate general compound point process (MGCPP).
Qi Guo +2 more
doaj +1 more source
Realizability of Point Processes [PDF]
Journal of Statistical Physics, 2007 There are various situations in which it is natural to ask whether a given collection of $k$ functions, $ _j(\r_1,...,\r_j)$, $j=1,...,k$, defined on a set $X$, are the first $k$ correlation functions of a point process on $X$. Here we describe some necessary and sufficient conditions on the $ _j$'s for this to be true.
Kuna T., Lebowitz J. L., Speer E. R.
openaire +3 more sources
Fingerprint Analysis with Marked Point Processes [PDF]
, 2014 We present a framework for fingerprint matching based on marked point process models. An efficient Monte Carlo algorithm is developed to calculate the marginal likelihood ratio for the hypothesis that two observed prints originate from the same finger ...
Forbes, Peter G. M. +2 more
core +2 more sources
, 2007 In many contexts such as queuing theory, spatial statistics, geostatistics and meteorology, data are observed at irregular spatial positions. One model of this situation involves considering the observation points as generated by a Poisson process. Under
McElroy, Tucker, Politis, Dimitris N.
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed +5 more
wiley +1 more source
A New Model for the Stochastic Point Reactor: Development and Comparison with Available Models
Energies, 2021 The point kinetic model is a system of differential equations that enables analysis of reactor dynamics without the need to solve coupled space-time system of partial differential equations (PDEs). The random variations, especially during the startup and
Alamir Elsayed +3 more
doaj +1 more source
Quasi-Symmetries of Determinantal Point Processes [PDF]
, 2016 The main result of this paper is that determinantal point processes on the real line corresponding to projection operators with integrable kernels are quasi-invariant, in the continuous case, under the group of diffeomorphisms with compact support ...
Bufetov, Alexander I.
core