BZPEER
More

Discover

About BZPEERSearchGraph

Research tools

HomeCollectionsResearchCollaborationPublish

Network

ExpertsCommunities

Opportunities

Listings

Account

Log inCreate account
Log inCreate account

Graph explorer

Research map

Explore the papers, people and topics connected to your research.

Nikolas Kantas
SearchCollections
Map detail
Nikolas Kantas18 visible / 18 total nodes / 37 links

Drag to move · Scroll or pinch to zoom · Select a node for details

Related contextRelated contextCo-authorshipCo-authorshipCo-authorshipRelated contextAuthorshipAuthorshipAuthorshipWorks onWorks onWorks onWorks onAuthorshipWorks onWorks onWorks onWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalNikolas KantasANikolas KantasResearcherLouis SharrockALouis SharrockResearcherGrigorios A. PavliotisAGrigorios A. PavliotisResearcherSequential Monte Carlo Methods for High-Dimensional Inverse Problems: A case study for the Navier-Stokes equationsWSequential Monte Carlo ...preprint / 2013Distributed Maximum Likelihood for Simultaneous Self-localization and Tracking in Sensor NetworksWDistributed Maximum Lik...preprint / 2012On Particle Methods for Parameter Estimation in State-Space ModelsWOn Particle Methods for...preprint / 2015MethodologyTMethodology5119 worksmath.PRTmath.PR7239 worksMachine LearningTMachine Learning49008 worksRecursive Maximum Likelihood Estimation for Interacting Particle Systems using Virtual ParticlesWRecursive Maximum Likel...preprint / 2026Joint Online Parameter Estimation and Optimal Sensor Placement for the Partially Observed Stochastic Advection-Diffusion EquationWJoint Online Parameter ...preprint / 2021On stochastic mirror descent with interacting particles: convergence properties and variance reductionWOn stochastic mirror de...preprint / 2020Linear Variance Bounds for Particle Approximations of Time-Homogeneous Feynman-Kac FormulaeWLinear Variance Bounds ...preprint / 2012Bayesian Parameter Inference for Partially Observed Stopped ProcessesWBayesian Parameter Infe...preprint / 2012Approximate Inference for Observation Driven Time Series Models with Intractable LikelihoodsWApproximate Inference f...preprint / 2013Calculating principal eigen-functions of non-negative integral kernels: particle approximations and applicationsWCalculating principal e...preprint / 2016Static Parameter Estimation for ABC Approximations of Hidden Markov ModelsWStatic Parameter Estima...preprint / 2012On the Convergence of Adaptive Sequential Monte Carlo MethodsWOn the Convergence of A...preprint / 2014
Person17 links

Nikolas Kantas

Researcher

PersonLouis SharrockCo-authorship / ResearcherPersonGrigorios A. PavliotisCo-authorship / ResearcherPaperSequential Monte Carlo Methods for High-Dimensional Inverse Problems: A case study for the Navier-Stokes equationsAuthorship / preprint / 2013PaperDistributed Maximum Likelihood for Simultaneous Self-localization and Tracking in Sensor NetworksAuthorship / preprint / 2012PaperOn Particle Methods for Parameter Estimation in State-Space ModelsAuthorship / preprint / 2015TopicMethodologyWorks on / 5119 worksTopicmath.PRWorks on / 7239 worksTopicMachine LearningWorks on / 49008 works

Personal maps

Sign in to save graph views

Saved views keep the query, focus and filters attached so you can return to the same research slice later.

Sign in

Public snapshots

1 shared view(s)