Utilizing Loan Scoring for Risk Management in Banks

Banks and lending institutions assess the the risk of a borrower defaulting on a loan. This "risk" is known as loan scoring. In this blog learn how to use loan data to build and evaluate

What Is a Regression Model?

In this article, we explore regression models, types of regression models, and when to use them. Included is an example of how to create a regression model using IMSL C.

What Are Neural Networks? Overview + Example

This article provides an overview of the artificial neural network, answers what are neural networks, its origins and applications, and described a few neural networks examples.

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.