Merlise A. Clyde
Statistics and Probability · 1999–2015
A researcher in the Science corpus: 7 papers; trusts 63 researchers and is trusted by 40 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 52 citations into it; #1,205 of 12,932 by trust here, #1,081 by citations
- Artificial Intelligence — 24 citations into it; #9,039 of 35,345 by trust here, #16,471 by citations
- Management Science and Operations Research — 8 citations into it; #1,403 of 11,946 by trust here, #1,182 by citations
- Probabilistic & Bayesian Methods — 8 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- Economics and Econometrics — 6 citations into it
- Health, Toxicology and Mutagenesis — 6 citations into it
- Control and Systems Engineering — 5 citations into it
Whom Merlise A. Clyde trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Joyee Ghosh
- Peter J. Green
- Feng Liang
- Denise Draper
- Robert E. Kass
- James O. Berger
- Robert Tibshirani
- Jennifer A. Hoeting
- Carlos M. Carvalho
- Adrian E. Raftery
Who trusts Merlise A. Clyde overall
- Joyee Ghosh
- Mark F. J. Steel
- Yingbo Li
- Arnaud Doucet
- Peter Carbonetto
- By P. Richard Hahn
- Christian Alexander Schäfer
- Artin Armagan
- Andrew E Ghattas
- Kenji Fukumizu
Papers from Merlise A. Clyde's perspective
Ordered by how strongly the researchers Merlise A. Clyde trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Estimating the Dimension of a Model
- ImageNet classification with deep convolutional neural networks
- Generalized Linear Models
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Generalized Beta Mixtures of Gaussians (2011) — 164 citations
- Mixtures of g Priors for Bayesian Variable Selection (2008) — 1,218 citations
- Bayesian Adaptive Sampling for Variable Selection and Model Averaging (2011) — 253 citations
- Rao–Blackwellization for Bayesian Variable Selection and Model Averaging in Linear and Binary Regression: A Novel Data Augmentation Approach (2011) — 48 citations
- Mixtures of g-Priors in Generalized Linear Models (2015) — 88 citations
- Health Effects of Air Pollution: A Statistical Review (2003) — 193 citations
- Sequential importance sampling for nonparametric Bayes models: The next generation (1999)