Evaluating Probabilistic Programming and Fast Variational Bayesian Inference in Phylogenetics

PeerJ - United States
doi 10.7717/peerj.8272
Full Text
Abstract

Available in full text

Date
Authors
Publisher

PeerJ

Related search

Towards Verified Stochastic Variational Inference for Probabilistic Programs

Proceedings of the ACM on Programming Languages
2020English

High-Resolution Sweep Metagenomics Using Fast Probabilistic Inference

Wellcome Open Research
BiochemistryMedicineGeneticsMolecular Biology
2020English

The Probabilistic Convolution Tree: Efficient Exact Bayesian Inference for Faster LC-MS/MS Protein Inference

PLoS ONE
Multidisciplinary
2014English

Variational Bayesian Inference for Point Process Generalized Linear Models in Neural Spike Trains Analysis

2010English

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

2019English

Bayesian Inference for Dynamic Choice Models Without the Need for Dynamic Programming

1996English

Probabilistic Inference in Hybrid Domains

2017English

Deep Inference and Probabilistic Coherence Spaces

Applied Categorical Structures
Computer ScienceTheoretical Computer Science
2010English

Graphical Models, Exponential Families, and Variational Inference

Foundations and Trends in Machine Learning
Human-Computer InteractionArtificial IntelligenceSoftware
2007English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy