A Resampling-Based Stochastic Approximation Method for Analysis of Large Geostatistical Data

By F. Liang, Yichen Cheng, Qifan Song, Jincheol Park, Ping Yang. 2013

84 citations recorded by the source corpus.

Subfields: Applied Mathematics, Artificial Intelligence, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/f7fece7bdc98863bffe3168abab9e141beba30a9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Mathematics

1. David J. Nott

In Artificial Intelligence

1. Linda S. L. Tan
2. David J. Nott
3. Matt P. Wand
4. Chandra R. Bhat
5. David Rohde

In Environmental Engineering

1. Linda S. L. Tan
2. David J. Nott

Citations in the corpus

• A Stochastic Variational Framework for Fitting and Diagnosing Generalized Linear Mixed Models (2012, methodology): “ta sets or streaming data (e.g. Luts et al., 2013; Broderick et al., 2013). Stochastic optimization is an important tool in parameter estimation for large data sets (e.g. Bottou 2 and Bousquet, 2008; Liang et al., 2013) and has been considered in the context of VB. For example, the online VB algorit”