AMS’s analytics team can harness massive amounts of data that are too complex for conventional estimation methods and perform statistical tests and predictive analyses for your
AMS’s team can harness the vast amounts of new data out there – from social media and online posts, satellites, and corporate financial information, to name a few sources – in economically and strategically meaningful ways that minimize the “white noise” in the application of statistical testing and prediction to decision making in your organization or organizational unit.
Model Optimization For:
Whether your dataset requires a subsampling-based method, a divide-and-conquer design, or online updating, our highly experienced statistical consulting team can help you to develop and perform analysis for any of the following methods:
Bootstrapping
Leveraging
Regression tree
LASSO
Mean-log likelihood
Subsampling Markov chain Monte Carlo (MCMC) and parallel MCMC
Aggregated estimating equations
Majority voting
Random forest
Ensemble
Screening for ultrahigh dimensions
Online updating for data streams
