Ville A. Satopaa

Modeling Probability Forecasts via Information Diversity

Lyle H. Ungar, Robin Pemantle, Ville A. Satopaa, 2014 .

Partial Information Framework: Model-Based Aggregation of Estimates from Diverse Information Sources

Lyle H. Ungar, Robin Pemantle, Shane T. Jensen, 2015, 1505.06472.

Probability aggregation in time-series: Dynamic hierarchical modeling of sparse expert beliefs

Lyle H. Ungar, Shane T. Jensen, Barbara A. Mellers, 2014, 1408.0087.

Combining Probability Forecasts and Understanding Probability Extremizing through Information Diversity

Ville A. Satopaa, R. Pemantle, L. Ungar, 2015, 1501.06943.

Bias, Information, Noise: The BIN Model of Forecasting

Ville Satopää, Marat Salikhov, Philip Tetlock, 2020, Manag. Sci..

Finding a "Kneedle" in a Haystack: Detecting Knee Points in System Behavior

David E. Irwin, Jeannie R. Albrecht, Barath Raghavan, 2011, 2011 31st International Conference on Distributed Computing Systems Workshops.

The Good Judgment Project: A Large Scale Test of Different Methods of Combining Expert Predictions

Lyle H. Ungar, Jonathan Baron, Ville Satopaa, 2012, AAAI Fall Symposium: Machine Aggregation of Human Judgment.

Combining Information from Multiple Forecasters: Inefficiency of Central Tendency

Ville A. Satopaa, Ville Satopaa, 2017, 1706.06006.

Combining and Extremizing Real-Valued Forecasts

Lyle Ungar, Ville Satopaa, Ville A. Satopaa, 2015, 1506.06405.

Simultaneous confidence intervals for comparing margins of multivariate binary data

Bernhard Klingenberg, Ville Satopaa, Ville A. Satopaa, 2013, Comput. Stat. Data Anal..

Bayesian aggregation of two forecasts in the partial information framework

Robin Pemantle, Philip A. Ernst, Ville Satopaa, 2016, 1608.04717.