Mikis D. Stasinopoulos
Statistics and Probability · 2005–2019
A researcher in the Science corpus: 5 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 24 citations into it
- Artificial Intelligence — 8 citations into it
- Management Science and Operations Research — 6 citations into it
Whom Mikis D. Stasinopoulos trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert A. Rigby
- D. Stasinopoulos
- Alan Y. Chiang
- Elisabeth Waldmann
- Edward C. Chao
- Eric R. Ziegel
- Trevor J. Hastie
- Pin T. Ng
- Hirotugu Akaike
- Murray Aitkin
Who trusts Mikis D. Stasinopoulos overall
Papers from Mikis D. Stasinopoulos's perspective
Ordered by how strongly the researchers Mikis D. Stasinopoulos trusts endorse each paper. Same corpus, a different order for every researcher.
- A new look at the statistical model identification
- Generalized Additive Models
- Pattern Recognition and Neural Networks
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Using the Box-Cox t distribution in GAMLSS to model skewness and kurtosis
- Generalized Additive Models for Location Scale and Shape (GAMLSS) in R
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Distributions for Modeling Location, Scale, and Shape (2019) — 189 citations
- GAMLSS: A distributional regression approach (2018) — 132 citations
- Flexible Regression and Smoothing: Using Gamlss in R (2017) — 446 citations
- Generalized Additive Models: An Introduction with R. by S. N. WOOD (2007) — 47 citations
- Generalized additive models for location, scale and shape - Discussion (2005) — 522 citations