452 citations · 870 across the 33 of their papers we have counts for
4 papers · 1 filter
Joint Fairness Model with Applications to Risk Predictions for Under-represented Populations
Hyungrok Do, Shinjini Nandi, Preston Putzel +2
In data collection for predictive modeling, under-representation of certain groups, based on gender, race/ethnicity, or age, may yield less-accurate predictions for these groups. R…
Bayesian Non-Homogeneous Markov Models via Polya-Gamma Data Augmentation with Applications to Rainfall Modeling
Tracy Holsclaw, Arthur M. Greene, Andrew W. Robertson +1
Discrete-time hidden Markov models are a broadly useful class of latent-variable models with applications in areas such as speech recognition, bioinformatics, and climate data anal…
Probabilistic models for joint clustering and time-warping of multidimensional curves
Darya Chudova, Scott Gaffney, Padhraic Smyth
In this paper we present a family of algorithms that can simultaneously align and cluster sets of multidimensional curves measured on a discrete time grid. Our approach is based on…
Modeling Waveform Shapes with Random Eects Segmental Hidden Markov Models
Seyoung Kim, Padhraic Smyth, Stefan Luther
In this paper we describe a general probabilistic framework for modeling waveforms such as heartbeats from ECG data. The model is based on segmental hidden Markov models (as used i…