Fernanda De Bastiani
Statistics and Probability · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 23 citations into it
- Artificial Intelligence — 7 citations into it
- Management Science and Operations Research — 6 citations into it
Whom Fernanda De Bastiani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert A. Rigby
- D. Stasinopoulos
- Eric R. Ziegel
- Alan Y. Chiang
- Elisabeth Waldmann
- Edward C. Chao
- Trevor J. Hastie
- Hirotugu Akaike
- Pin T. Ng
- Murray Aitkin
Papers from Fernanda De Bastiani's perspective
Ordered by how strongly the researchers Fernanda De Bastiani 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
- Using the Box-Cox t distribution in GAMLSS to model skewness and kurtosis
- Generalized Linear Models
- Generalized Additive Models for Location Scale and Shape (GAMLSS) in R
- Regression: Models, Methods and Applications
- Theoretical Explanation of Observed Decreasing Failure Rate (Technometrics)
- Statistical Inference: An Integrated Bayesian/Likelihood Approach
- MULTI-ETHNIC REFERENCE VALUES FOR SPIROMETRY FOR THE 3–95 YEAR AGE RANGE: THE GLOBAL LUNG FUNCTION 2012 EQUATIONS (European Respiratory Journal)
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