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201. Modeling With Stochastic Programming
by Alan J. King; Stein W. Wallace
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2024, Springer Nature
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202. Classical and Spatial Stochastic Processes
by Rinaldo B. Schinazi
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2024, Springer Nature
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203. The Art of Finding Hidden Risks
by Sidney Resnick
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2024, Springer Nature
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204. Efficiency and Productivity Analysis
by Artem Prokhorov
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2024, Taylor & Francis
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205. Nonlinear Fokker-Planck Flows and Their Probabilistic Counterparts
by Viorel Barbu; Michael Röckner
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2024, Springer Nature
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206. Introduction to Credit Risk Modeling
by Christian Bluhm; Ludger Overbeck; Christoph Wagner
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2024, Taylor & Francis
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207. Stochastic Processes With R
by Olga Korosteleva
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2024, Taylor & Francis
eBook ISBN: 9781032154732
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208. Martingale Methods in Statistics
by Yoichi Nishiyama
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2024, Taylor & Francis
eBook ISBN: 9781032146041
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209. Modern Time Series Forecasting With Python: Industry-Ready Machine Learning and Deep Learning Time Series Analysis With Pytorch and Pandas
by Manu Joseph, Jeffrey Tackes
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210. Mathematical Thinking
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2024, Birkhauser Verlag AG
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211. Statistical Rock Physics
by Gabor Korvin
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2024, Springer Nature
eBook ISBN: 9783031466991
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212. Financial Mathematics, Derivatives and Structured Products (Springer Finance)
by Chan, Raymond H.
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2024, Springer Verlag, Singapore
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213. Modern Time Series Forecasting With Python-Second Edition: Industry-Ready Machine Learning and Deep Learning Time Series Analysis With Pytorch and P
by Joseph, Manu; Tackes, Jeffrey
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214. Stochastic Models in Reliability Engineering
by Ilia Frenkel; Anatoly Lisnianski; Lirong Cui
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2024, Taylor & Francis
eBook ISBN: 9780367521820
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215. Modern Time Series Forecasting With Python
by Manu Joseph
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2024, Packt Publishing
eBook ISBN: 9781835883181
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216. Financial Mathematics, Derivatives and Structured Products (Springer Finance)
by Chan, Raymond H., Guo, Yves Zy., Lee, Spike T., Li, Xun
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