Andrey Markov

gene mutations. First a likelihood estimation model is built based on a gradient boosting model. This model is capable of identifying individuals at high risk of having BRCA mutations based on their family and personal history of cancers. Then, a Markov decision process (MDP) model is formulated to help BRCA mutation carriers and their health providers to find effective intervention actions (based on cost or quality-adjusted life years) to prevent breast and ovarian cancers. Finally, a robust MDP

MODELING CUSTOMER RELATIONSHIPS AS MARKOV CHAINS Phillip E. Pfeifer Robert L. Carraway f INTRODUCTION The lifetime value of a customer is an important and useful concept in interactive marketing. Courtheaux (1986) illustrates its usefulness for a number of managerial problems—the most obvious if not the most important being the budgeting of marketing expenditures for customer acquisition. It can also be used to help allocate spending across media (mail vs. telephone vs. television), vehicles

reviewing report written that should address the points - Recommendations, improvement of the work Should draw Markov state diagram, Should make some experiments and tests, Should study, apply, circular statistics ,Should draw some curves on 2D or 3D, Should deduce TPM (transition probability matrix), TRM (transition rate matrix) for Markov process, Should deduce the utilization factor of the roads, Should deduce the maximum capacity of the road ,Should deduce the local balance equation and study

Staffing Report One Table of Contents 1. Forecast of Labor 2. Markov Analysis Information 3. Demographic Categories 4. Promotion Practices 5. Organizational Memo Forecast of Labor: MGT Consulting gathered information from the previous year (2010) and used a Markov analysis to generate a plan of action for the employment needs for Tanglewood in 2011. The Washington market is very stable for Tanglewood and we decided that the current workforce will be sufficient for the 2011 forecast

Markov Chains Game Introduction Probabilistic reasoning goes a long way in many popular board games. Abbott and Richey [1] and Ash and Bishop [2] identify the most portable properties in Monopoly and Tan [3] derives battle strategies for RISK. In RISK, the stochastic progress of a battle between two players over any of the 42 countries can be described using a Markov Chain. Theory for Markov Chains can be applied to address questions about the probabilities of victory and expected losses in battle

We Determine Our Own Destiny How much of our lives do we actually control ? Everyone has and will always have different outlooks on this question that can’t possibly be proven, we can solely try to persuade and convince each other otherwise.For example two authors had two different viewpoints on this controversial question.David Epstein, author of The Sports Gene, argues that physical ability formed at birth out ways hard work and success achieved through years of practice.The opposing author William

No One Likes You You're too Nice and Quiet Trinese Lawhorn America Literature February 28, 2015 Table of Contents Dedication Dear Reader Expository Essay--------------------------------------------------------------------------------------------1 Quote by Gary Oldman------------------------------------------------------------------------------------2 Quiet Man by David Harris---------------------------------------------------------------------------------------------------------------------------3

CHERN’S CASE STUDY Introduction and Alignment Terri Montgomery Student ID -29224022215282 Indiana Wesleyan University HRMT-537: Staffing, Performance, Management and Training Professor Redd Branner November 17, 2014 Introduction     Chern’s, a well known retail establishment whose major focus is on providing excellence in customer service, was founded by a brother and sister team, Ann and Ryan Chern. The company employs 19,000 employees (full

important with higher and higher requires of AI. As a big part of image identification, it is abviously necessary to develop better solution in image segmentation, thus machine could identity objects easier. The division technique for pictures based on Markov Random Field (MRF) demonstrate ready to combine the contextual information from label pictures and statistical properties of pictures to be segmented. In this paper, we start from MRF theory, described the principle and methods of MRF model, and discussed

Introduction to Martingale Theory Martingale Theory is a simple mathematical model which models sequence of a fair game [1]. It is a stochastic process on some probability space {Ω, F, P}. Originally it was used as a betting strategy during 18th century in France. In 1934, Paul Lévy introduced concept of Martingale in probability theory. It is named after ‘La Grande Martingale,’ which means strategy for even odd bets where bets are doubled every time we lose. Idea behind this betting strategy is