Guide to Time Series Analysis

In this article, we take a broad look at time series analysis and its applications, including advanced time series analysis methods and models, and an example of how it can be applied to

Pre-Processing Data for Time Series Analysis: Outlier Analysis, Missing Values, and Time Series Seasonality

Learn about methods to address outliers, missing values, and seasonal patterns using different functions in IMSL’s time series package.

Solving the Transportation Problem

In this blog, we look at how to solve the transportation problem via transportation algorithms for both balanced and unbalanced transportation problems.

Top Machine Learning Libraries

A review of some popular top machine learning libraries and discuss their applications

Introduction to Credit Risk Modeling

In this article, we take a high-level look at credit risk modeling, how it’s used, and various models and algorithms used for analyzing and managing risk.

Weather Risk Management Enhanced by IMSL

Methods for Multidimensional Scaling Part 1: Overview

In this article, we give an overview of multidimensional scaling, and the methods used for solving multidimensional scaling problems.

Decision Tree Machine Learning Predictions: The Best Answer Based on Available Data

In this article, we look at decision tree algorithms and the technology that make predications possible.

Guide to ARIMA and Auto_Arima

This article gives an overview of Auto_Arima function, how it's used, and how to select the right Auto_Arima model.

Data Ingestion for Loan Scoring using IMSL for C

When considering approving a loan, banks and other lending institutions want to know the chance that a borrower will default on the loan. Assessing this risk is known as loan scoring