Natalya Pya

Statistics and Probability · 2015

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 38 citations into it; #4,295 of 12,932 by trust here, #4,371 by citations
• Artificial Intelligence — 10 citations into it; #18,535 of 35,345 by trust here, #24,417 by citations
• Applied Mathematics — 5 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Natalya Pya trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Simon N. Wood
2. Mary C. Meyer
3. Alan Y. Chiang
4. David Ruppert
5. Stefan Lang
6. David B. Dunson
7. Hirotogu Akaike
8. Giampiero Marra
9. Ludwig Fahrmeir
10. Bernard Walter Silverman

Who trusts Natalya Pya overall

1. Yining Chen
2. G. Simpson
3. Min Xu
4. Benjamin D. Youngman
5. Richard J. Samworth
6. Minhua Chen
7. Alan Agresti
8. Adityanand Guntuboyina
9. Sarah Tan
10. Eric J. Pedersen

Papers from Natalya Pya's perspective

Ordered by how strongly the researchers Natalya Pya trusts endorse each paper. Same corpus, a different order for every researcher.

1. A Practical Guide to Splines
2. Direct generalized additive modeling with penalized likelihood
3. Generalized Additive Models: An Introduction With R
4. PENALIZED STRUCTURED ADDITIVE REGRESSION FOR SPACE-TIME DATA: A BAYESIAN PERSPECTIVE
5. Bayesian inference for generalized additive mixed models based on Markov random field priors
6. Generalized Linear Models
7. Spline Models for Observational Data
8. On the asymptotics of penalized splines
9. Modelling and smoothing parameter estimation with multiple quadratic penalties
10. INFERENCE USING SHAPE-RESTRICTED REGRESSION SPLINES

Their papers

• Shape constrained additive models (2015) — 326 citations
• Smoothing Parameter and Model Selection for General Smooth Models (2015) — 1,287 citations