Inventor
CHVOSTA JAN
US15 patents
⚠️ This page may combine multiple inventors who share the name “CHVOSTA JAN”. Patents are grouped by organization below to help distinguish them — per-person disambiguation is on the roadmap.
SAS INST INC
14 patentsUS11443198B1Sep 13, 2022
Directed acyclic graph machine learning system
SAS INST INC13 citations85
US11354566B1Jun 7, 2022
Causal inference and policy optimization system based on deep learning models
SAS INST INC8 citations82
US11120032B1Sep 14, 2021
Reducing consumption of computing resources in performing computerized sequence-mining on large data sets
SAS INST INC7 citations82
US12056207B1Aug 6, 2024
Topological order determination using machine learning
SAS INST INC3 citations74
US11769350B1Sep 26, 2023
Computer system for automatically analyzing a video of a physical activity using a model and providing corresponding feedback
SAS INST INC2 citations72
US9928320B2Mar 27, 2018
Techniques for estimating compound probability distribution by simulating large empirical samples with scalable parallel and distributed processing
SAS INST INC2 citations72
US9665669B2May 30, 2017
Techniques for estimating compound probability distribution by simulating large empirical samples with scalable parallel and distributed processing
SAS INST INC2 citations72
US10146741B2Dec 4, 2018
Approximate multivariate posterior probability distributions from simulated samples
SAS INST INC2 citations71
US9710428B2Jul 18, 2017
Techniques for automated bayesian posterior sampling using markov chain monte carlo and related schemes
SAS INST INC2 citations71
US9672193B2Jun 6, 2017
Compact representation of multivariate posterior probability distribution from simulated samples
SAS INST INC4 citations71
US11328225B1May 10, 2022
Automatic spatial regression system
SAS INST INC5 citations68
US11010451B2May 18, 2021
Techniques for automated Bayesian posterior sampling using Markov Chain Monte Carlo and related schemes
SAS INST INC1 citations60
US10325008B2Jun 18, 2019
Techniques for estimating compound probability distribution by simulating large empirical samples with scalable parallel and distributed processing
SAS INST INC0 citations51
US10095660B2Oct 9, 2018
Techniques for producing statistically correct and efficient combinations of multiple simulated posterior samples
SAS INST INC1 citations50