Pages that link to "Item:Q2734599"

The following pages link to Sequential Monte Carlo Methods in Practice (Q2734599):

Displaying 50 items.

• An iterative version of the adaptive Gaussian mixture filter (Q680289) (← links)
• Importance sampling in path space for diffusion processes with slow-fast variables (Q681519) (← links)
• A stable estimator of the information matrix under EM for dependent data (Q692952) (← links)
• Sequential Monte Carlo for rare event estimation (Q693307) (← links)
• On sequential Monte Carlo, partial rejection control and approximate Bayesian computation (Q693361) (← links)
• Filtering via approximate Bayesian computation (Q693364) (← links)
• Four encounters with system identification (Q693680) (← links)
• Bayesian inference with optimal maps (Q695159) (← links)
• A nonasymptotic theorem for unnormalized Feynman-Kac particle models (Q720734) (← links)
• \(\Pi\)4U: a high performance computing framework for Bayesian uncertainty quantification of complex models (Q728966) (← links)
• Generalized spectral testing for multivariate continuous-time models (Q738028) (← links)
• Particle filters for continuous likelihood evaluation and maximisation (Q738078) (← links)
• Long-term stability of sequential Monte Carlo methods under verifiable conditions (Q744372) (← links)
• Rate estimation in partially observed Markov jump processes with measurement errors (Q746231) (← links)
• On the convergence of two sequential Monte Carlo methods for maximum a posteriori sequence estimation and stochastic global optimization (Q746254) (← links)
• Optimal SIR algorithm vs. fully adapted auxiliary particle filter: a non asymptotic analysis (Q746346) (← links)
• Tracking rapid intracellular movements: a Bayesian random set approach (Q746682) (← links)
• Data assimilation for a quasi-geostrophic model with circulation-preserving stochastic transport noise (Q781799) (← links)
• Model-based kernel sum rule: kernel Bayesian inference with probabilistic models (Q782449) (← links)
• Moving target parameter estimation for MIMO radar based on the improved particle filter (Q784502) (← links)
• Two-stage algorithm for estimation of nonlinear functions of state vector in linear Gaussian continuous dynamical systems (Q786092) (← links)
• Sequential particle filter estimation of a time-dependent heat transfer coefficient in a multidimensional nonlinear inverse heat conduction problem (Q822102) (← links)
• Nonlinear filters for chaotic oscillatory systems (Q840529) (← links)
• A multi-resolution, non-parametric, Bayesian framework for identification of spatially-varying model parameters (Q843476) (← links)
• Dynamically orthogonal field equations for continuous stochastic dynamical systems (Q845037) (← links)
• A new class of interacting Markov chain Monte Carlo methods (Q847107) (← links)
• Bayesian analysis of quasi-life tables (Q849900) (← links)
• Equilibrium sampling from nonequilibrium dynamics (Q852049) (← links)
• Quantum physical symbol systems (Q853791) (← links)
• Estimation of high-dimensional prior and posterior covariance matrices in Kalman filter vari\-ants (Q864265) (← links)
• Freeway traffic estimation within particle filtering framework (Q869078) (← links)
• Particle filter design using importance sampling for acoustic source localisation and tracking in reverberant environments (Q871570) (← links)
• Simulation-based optimal sensor scheduling with application to observer trajectory planning (Q883376) (← links)
• Robust sequential learning of feedforward neural networks in the presence of heavy-tailed noise (Q889372) (← links)
• On integration methods based on scrambled nets of arbitrary size (Q890226) (← links)
• Multibody dynamic systems as Bayesian networks: Applications to robust state estimation of mechanisms (Q890287) (← links)
• Nonparametric particle filtering approaches for identification and inference in nonlinear state-space dynamic systems (Q892433) (← links)
• Bayesian parameter inference for partially observed stopped processes (Q892438) (← links)
• Adaptive sequential Monte Carlo by means of mixture of experts (Q892475) (← links)
• Bayesian sequential experimental design for binary response data with application to electromyographic experiments (Q899024) (← links)
• Comment: ``The 2005 Neyman lecture: dynamic indeterminism in science'' (Q900485) (← links)
• Affect control processes: intelligent affective interaction using a partially observable Markov decision process (Q901039) (← links)
• Indirect density estimation using the iterative Bayes algorithm (Q901484) (← links)
• Particle learning and smoothing (Q903317) (← links)
• Bayesian decoding of neural spike trains (Q904063) (← links)
• Smoothing algorithms for state-space models (Q904066) (← links)
• A regularized particle filter EM algorithm based on Gaussian randomization with an application to plant growth modeling (Q905216) (← links)
• Higher order sigma point filter: a new heuristic for nonlinear time series filtering (Q905348) (← links)
• Kernels, regularization and differential equations (Q941562) (← links)
• Modified particle filter methods for assimilating Lagrangian data into a point-vortex model (Q942719) (← links)