000  01736cam a22002178i 4500  

008  200514s2021 enk b 001 0 eng  
020  _a9781108789981  
041  _aeng  
080 
_a519.2 _bAMI 

100  1  _aAmir, Ariel,  
245  1  0 
_aThinking probabilistically _bStochastic processes, disordered systems and their applications 
260 
_aCambridge _b Cambridge University Press _c2021 

300  _a233 p.  
504  _aIncludes bibliographical references and index.  
520  _a"Probability theory has diverse applications in a plethora of fields, including physics, engineering, computer science, chemistry, biology and economics. This book will familiarize students with various applications of probability theory, stochastic modeling and random processes, using examples from all these disciplines and more. The reader learns via case studies and begins to recognize the sort of problems that are best tackled probabilistically. The emphasis is on conceptual understanding, the development of intuition and gaining insight, keeping technicalities to a minimum. Nevertheless, a glimpse into the depth of the topics is provided, preparing students for more specialized texts while assuming only an undergraduatelevel background in mathematics. The wide range of areas covered  never before discussed together in a unified fashion  includes Markov processes and random walks, Langevin and FokkerPlanck equations, noise, generalized central limit theorem and extreme values statistics, random matrix theory and percolation theory"  
650  0 
_aProbabilities _vTextbooks. 

650  0 
_aStochastic processes _vTextbooks. 

650  0 
_aOrderdisorder models _vTextbooks. 

690  _aMathematics  
942 
_cBK _01 

999 
_c58786 _d58786 