Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn to assess risk and potential gains.
Abstract: In many practical applications, it is necessary to deal with unpredictable functions of time, hence the importance of random processes. In this chapter, we first discuss the classification ...
Pishro-Nik's: Introduction to Probability, Statistics and Random Processes is a very accessible introductory probability and statistics book at a level of an undergraduate math/computer ...
Abstract: Modern systems are becoming highly configurable to satisfy the varying needs of customers and users. Software product lines are hence becoming a common trend in software development to ...
R package, implementing a three steps variable selection procedure based on random forests. Initially developed to handle high dimensional data (for which number of variables largely exceeds number of ...
Introduction: Moving Beyond Predictive Accuracy Prediction has been traditionally the backbone of applied data science. From ...
CT Insider on MSN
Tracking this weekend's nor'easter in Connecticut: A breakdown of the 3 most likely scenarios
What are the chances for another round of heavy snow this weekend?
The Punch on MSN
How to Combine Markets for Better Odds
Betting has always been about patterns. Long ago, bettors followed handwritten lists from bookmakers, studying margins ...
Influence of Elephant-Driven Vegetation Structure and Altitudinal Gradient on the Occurrence of the Endemic Mount Cameroon Francolin ...
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