solving nonlinear scoring problems where linear regression doesn't fit well using techniques like Generalized Additive Models (GAM) and Support Vector Regression (SVR).
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Updated
Aug 23, 2018 - R
solving nonlinear scoring problems where linear regression doesn't fit well using techniques like Generalized Additive Models (GAM) and Support Vector Regression (SVR).
Computationally efficient Bayesian variable selection method to identify linear and nonlinear effects in regression models where a predictor (or feature) can have a zero effect, a non-zero linear effect or non-zero non-linear effect on the outcome variables.
This is a paleolimnological analysis using tidypaleo in R. View the Github page to walk through each step of the analysis.
To help identify ecosystem and climate influences on Atlantic cod, generalized additive models were used to examine associations between Atlantic cod population dynamics and environmental variables in the Northwest Atlantic region.
This is the code of a group university project on insurance premiums I took part in. Nonparametric statistics has been used for the data analysis and a shiny app has been implemented to show health insurance premium predictions. I thank Anna Iob, Martina Garavaglia and Veronica Mazzola who have partecipated in the project realisation.
Comprehensive statistical analysis of the Adult Census Income Dataset, employing Z-tests, ANOVA, and Tukey's test for categorical data, alongside various modeling techniques such as logistic regression, stepwise selection, Lasso/Ridge Logistic Regression, and Generalized Additive Models (GAM).
Analyze and forecast time series data on the number of visitors to various Italian museums using techniques such as TimeGPT, SARIMAX, Holt-Winters, Lasso, Gradient Boosting, GAM, etc.
Bike-sharing rental process is highly correlated to the environmental and seasonal settings. For instance, weather conditions, precipitation, day of week, season, hour of the day, etc. can affect the rental behaviors. The core data set is related to the two-year historical log corresponding to years 2011 and 2012 from Capital Bikeshare system, W…
Effects of drought and habitat fragmentation on Heliconia acuminata.
Proposing data-aware alternate hypothesis on the COVID-19 dataset
This repository contains the code required to perform the data processing and analysis associated with the manuscript submitted to Nature under the name "Maladaptive Genetic Assortment in Humans
Available R-Packages for Gaussian Process Regression
Tutorials for the mssm toolbox!
Supervised learning and unsupervised in R, with a focus on regression and classification methods.
This repository contains code and data for recreating the analysis used in "Mitigating ecosystem service tradeoffs in rangelands by using grazing duration and timing to manage water quality" to be published in the Journal of Applied Ecology.
Data and modeling notes for Nonparametric Statistics
Predicting concrete compressive strength using GAM regression.
R package for calculating survey indices by age from DATRAS exchange data. Adapted from Casper W. Berg @casperwberg.
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