22 citations · 128 across the 29 of their papers we have counts for
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cs.AI2015★ 22 cited
BayesDB: A probabilistic programming system for querying the probable implications of data
Vikash Mansinghka, Richard Tibbetts, Jay Baxter +2
Is it possible to make statistical inference broadly accessible to non-statisticians without sacrificing mathematical rigor or inference quality? This paper describes BayesDB, a pr…
cs.AI2015★ 22 cited
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data
Vikash Mansinghka, Patrick Shafto, Eric Jonas +3
There is a widespread need for statistical methods that can analyze high-dimensional datasets with- out imposing restrictive or opaque modeling assumptions. This paper describes a…