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energy-ts-analysis

Jupyter notebook implementing time series forecasting of energy consumption data with different methods.

co2-data

Data on CO2 and greenhouse gas emissions by Our World in Data

FishyR

Functions to Facilitate Standard Analyses Conducted in Fisheries Science

izipr

Interpretable zero-inflated Poisson (and related) models in R

Algar_Cam_Traps

R scripts for Algar camera trap project

g-formula-prediction

Using the parametric g-formula for risk prediction modeling

TMA4500

The files used in the project fall 2020

Tutorials

Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.

Claim-Frequency-Forecast

Forecast of car claim frequency using GLM, boosting and neural networks

claim_frequency

GLM, Neural Network and Gradient Boosting for Insurance Pricing, Part 1: Claim Frequency

zicounts

Counts data models: zero-inflation as well as interval icensored

DisabilityModel

Zero-inflated Poisson (ZIP) regression model used to explain disability using Activities of Daily Living (ADL) as the outcome

autocalibration

fastai_on_freMTPL

Experiment - apply the fast.ai tabular learner to the French TPL dataset

Tutorial_freMTPL2

Python tutorial for the french motor third party liability 2 dataset

ML-in-insurance-pricing

Non-life-Insurance-Ratemaking

研究生课程，包含讲义、数据、代码等学习资料

rfCountData

Modern-Actuarial-Models

ABCFitLoMo

Online accompaniement (mainly python code) of the paper entitled "Approximate Bayesian Computations to fit and compare insurance loss models"

CASdatasets

Datasets for the book Computational Actuarial Science with R

ZIGP

Zero Inflated Generalized Poisson (ZIGP) regression models

zeroinfl

(Python) Stat 689 Project - zero inflated Poisson regression package in Python.

Zero-Inflated-Poisson-Regression

Application of count regression