Bøker utgitt av Kappa Research, LLC

Life is full of uncertainty, risk, opportunity, and randomness. How can we gain an edge in our decision-making?There is much that we can neither predict nor control-but we can significantly improve our odds of favorable outcomes in both work and life. By developing an intuitive understanding of risk, chance, and uncertainty, we can harness the power of the randomness all around us to positively impact our lives.After two decades of investigation, Hossein Pishro-Nik distills his personal experience, research, and feedback from students into actionable methods that will help you make more confident decisions . . . even if you've never picked up a statistics book. You'll learn:Usable Insights: Practical applications of probability, statistics, finance, information theory, and machine learningEntrepreneurial Edge: Strategies to assess risk and make smarter business decisionsThe Unexpected Link: The surprising connection between privacy and randomnessAI in the Real World: Ways to apply lessons from the world of AI to our everyday decision-makingDemystifying the Complex: Accessible explanations of powerful mathematical concepts that, until now, have not been adequately covered for all readersPractical Uncertainty is a friendly, educational manual that uses real-world insights to help you internalize essential tools for risk-taking and decision-making in unpredictable scenarios. With this coherent and approachable book, you'll gain the knowledge and intuition to master the uncertainty in your life, improve your daily habits, and increase your chances of achieving your goals.

This book introduces students to probability, statistics, and stochastic processes. It can be used by both students and practitioners in engineering, various sciences, finance, and other related fields. It provides a clear and intuitive approach to these topics while maintaining mathematical accuracy.The book covers: Basic concepts such as random experiments, probability axioms, conditional probability, and counting methodsSingle and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, characteristic functions, random vectors, and inequalitiesLimit theorems and convergenceIntroduction to Bayesian and classical statisticsRandom processes including processing of random signals, Poisson processes, discrete-time and continuous-time Markov chains, and Brownian motionSimulation using MATLAB, R, and Python (online chapters)The book contains a large number of solved exercises. The dependency between different sections of this book has been kept to a minimum in order to provide maximum flexibility to instructors and to make the book easy to read for students. Examples of applications-such as engineering, finance, everyday life, etc.-are included to aid in motivating the subject. The digital version of the book, as well as additional materials such as videos, is available at www.probabilitycourse.com.