Luigi Lombardo
Statistics and Probability · 2017–2020
A researcher in the Science corpus: 6 papers; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 21 citations into it
- Management, Monitoring, Policy and Law — 19 citations into it; #958 of 2,821 by trust here, #1,796 by citations
- Environmental Engineering — 13 citations into it
- Artificial Intelligence — 10 citations into it
- Atmospheric Science — 6 citations into it
- Economics and Econometrics — 5 citations into it
Whom Luigi Lombardo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Håvard Rue
- Julian Besag
- Tom Fawcett
- David W. Hosmer Jr.
- Finn Lindgren
- Fausto Guzzetti
- Marta Blangiardo
- P. Barnwal
- Alexander Brenning
- Sudipto Banerjee
Who trusts Luigi Lombardo overall
Papers from Luigi Lombardo's perspective
Ordered by how strongly the researchers Luigi Lombardo trusts endorse each paper. Same corpus, a different order for every researcher.
- Spatial Interaction and the Statistical Analysis of Lattice Systems
- Hierarchical Modeling and Analysis for Spatial Data
- An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach
- Spatial and Spatio-temporal Bayesian Models with R - INLA
- Statistical Analysis of Non-Lattice Data
- Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors
- INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles (Extremes)
- Bayesian Computing with INLA: A Review
- GIS techniques and statistical models in evaluating landslide hazard
- Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
Their papers
- Soil erosion modelling: A global review and statistical analysis (2020) — 579 citations
- Space-time landslide predictive modelling (2019) — 179 citations
- Accounting for covariate distributions in slope-unit-based landslide susceptibility models. A case study in the alpine environment (2019) — 67 citations
- Geostatistical Modeling to Capture Seismic‐Shaking Patterns From Earthquake‐Induced Landslides (2018) — 74 citations
- Presenting logistic regression-based landslide susceptibility results (2018) — 237 citations
- Modeling soil organic carbon with Quantile Regression: Dissecting predictors' effects on carbon stocks (2017) — 54 citations