Amanote Research

Amanote Research

    RegisterSign In

Streaming Stochastic Variational Bayes; An Improved Approach for Bayesian Inference With Data Streams

doi 10.7287/peerj.preprints.27790v1
Full Text
Open PDF
Abstract

Available in full text

Date

June 10, 2019

Authors
Nadheesh JihanMalith JayasingheSrinath Perera
Publisher

PeerJ


Related search

An Online Variational Inference and Ensemble Based Multi-Label Classifier for Data Streams

2019English

Online Inference of Mixed Membership Stochastic Blockmodels for Network Data Streams

IEICE Transactions on Information and Systems
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
2014English

Bayesian Inference Implemented on FPGA With Stochastic Bitstreams for an Autonomous Robot

2016English

The Variational Bayes Approximation in Bayesian Filtering

English

On Efficient Bayesian Inference for Models With Stochastic Volatility

SSRN Electronic Journal
2016English

Towards Verified Stochastic Variational Inference for Probabilistic Programs

Proceedings of the ACM on Programming Languages
2020English

A Stochastic Collocation Approach to Bayesian Inference in Inverse Problems

Communications in Computational Physics
AstronomyPhysics
2009English

On-Line Inference for Data Streams

2006English

Bayesian Computation Methods for Inference in Stochastic Kinetic Models

Complexity
MultidisciplinaryComputer Science
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy