Results 51 to 60 of about 2,675,626 (288)
Fully Bayesian Experimental Design for Pharmacokinetic Studies
Entropy, 2015 Utility functions in Bayesian experimental design are usually based on the posterior distribution. When the posterior is found by simulation, it must be sampled from for each future dataset drawn from the prior predictive distribution.
Elizabeth G. Ryan +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Parents of children treated for acute lymphoblastic leukemia (ALL) often experience significant caregiver burden and disruption to their well‐being. While parent quality of life (QoL) during treatment is well characterized, little is known about outcomes during early survivorship.
Sara Dal Pra +3 more
wiley +1 more source
Importance Sampling for Multiscale Diffusions
, 2011 We construct importance sampling schemes for stochastic differential equations with small noise and fast oscillating coefficients. Standard Monte Carlo methods perform poorly for these problems in the small noise limit.
Hui Wang +4 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Cognitive and psychological difficulties could negatively interfere with treatment adherence and quality of life before and after hematopoietic stem cell transplant (HSCT). Methods to mitigate these changes may have positive effects on treatment success.
Kristen L. Votruba +11 more
wiley +1 more source
Computationally Efficient Nonparametric Importance Sampling
, 2008 The variance reduction established by importance sampling strongly depends on the choice of the importance sampling distribution. A good choice is often hard to achieve especially for high-dimensional integration problems. Nonparametric estimation of the
Jan C. Neddermeyer, Kim Y. B., West M.
core +4 more sources
Importance sampling large deviations in nonequilibrium steady states. I [PDF]
, 2018 Large deviation functions contain information on the stability and response of systems driven into nonequilibrium steady states, and in such a way are similar to free energies for systems at equilibrium.
Chan, Garnet Kin-Lic +2 more
core +3 more sources
Importance Sampling for Backward SDEs [PDF]
Stochastic Analysis and Applications, 2010 In this article, we explain how the importance sampling technique can be generalized from simulating expectations to computing the initial value of backward stochastic differential equations (SDEs) with Lipschitz continuous driver. By means of a measure transformation we introduce a variance reduced version of the forward approximation scheme by Bender
Bender, Christian, Moseler, Thilo
openaire +4 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT A second allogeneic (allo‐)hematopoietic stem cell transplantation (HSCT2) is a potential curative option for pediatric patients with acute lymphoblastic leukemia (ALL) following relapse after first allogeneic transplantation (HSCT1), but its efficacy is limited by high relapse rates and transplant‐related toxicity in highly pretreated ...
Ava Momm +10 more
wiley +1 more source
Cubature Information SMC-PHD for Multi-Target Tracking
Sensors, 2016 In multi-target tracking, the key problem lies in estimating the number and states of individual targets, in which the challenge is the time-varying multi-target numbers and states.
Zhe Liu, Zulin Wang, Mai Xu
doaj +1 more source
Faster Coordinate Descent via Adaptive Importance Sampling [PDF]
, 2017 Coordinate descent methods employ random partial updates of decision variables in order to solve huge-scale convex optimization problems. In this work, we introduce new adaptive rules for the random selection of their updates.
Cevher, Volkan +2 more
core +1 more source