Tony Pourmohamad – författare

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5 produkter

Case Studies in Bayesian Methods for Biopharmaceutical CMC
AvTony Pourmohamad,Paul Faya
E-bok
PDF, Engelska, 2022
989 kr
Läs direkt efter köp
The subject of this book is applied Bayesian methods for chemistry, manufacturing, and control (CMC) studies in the biopharmaceutical industry. The book has multiple authors from industry and academia, each contributing a case study (chapter). The collection of case studies covers a broad array of CMC topics, including stability analysis, analytical method development, specification setting, process development and optimization, process control, experimental design, dissolution testing, and comparability studies. The analysis of each case study includes a presentation of code and reproducible output. This book is written with an academic level aimed at practicing nonclinical biostatisticians, most of whom have graduate degrees in statistics.
• First book of its kind focusing strictly on CMC Bayesian case studies
• Case studies with code and output
• Representation from several companies across the industry as well as academia
• Authors are leading and well-known Bayesian statisticians in the CMC field
• Accompanying website with code for reproducibility
• Reflective of real-life industry applications/problems
Case Studies in Bayesian Methods for Biopharmaceutical CMC
AvTony Pourmohamad,Paul Faya
E-bok
Engelska, 2022
989 kr
Läs direkt efter köp
The subject of this book is applied Bayesian methods for chemistry, manufacturing, and control (CMC) studies in the biopharmaceutical industry. The book has multiple authors from industry and academia, each contributing a case study (chapter). The collection of case studies covers a broad array of CMC topics, including stability analysis, analytical method development, specification setting, process development and optimization, process control, experimental design, dissolution testing, and comparability studies. The analysis of each case study includes a presentation of code and reproducible output. This book is written with an academic level aimed at practicing nonclinical biostatisticians, most of whom have graduate degrees in statistics.
• First book of its kind focusing strictly on CMC Bayesian case studies
• Case studies with code and output
• Representation from several companies across the industry as well as academia
• Authors are leading and well-known Bayesian statisticians in the CMC field
• Accompanying website with code for reproducibility
• Reflective of real-life industry applications/problems
Case Studies in Bayesian Methods for Biopharmaceutical CMC
AvPaul Faya,Tony Pourmohamad
Inbunden, Engelska, 2022
2 455 kr
Skickas inom 10-15 vardagar
The subject of this book is applied Bayesian methods for chemistry, manufacturing, and control (CMC) studies in the biopharmaceutical industry. The book has multiple authors from industry and academia, each contributing a case study (chapter). The collection of case studies covers a broad array of CMC topics, including stability analysis, analytical method development, specification setting, process development and optimization, process control, experimental design, dissolution testing, and comparability studies. The analysis of each case study includes a presentation of code and reproducible output. This book is written with an academic level aimed at practicing nonclinical biostatisticians, most of whom have graduate degrees in statistics. • First book of its kind focusing strictly on CMC Bayesian case studies • Case studies with code and output • Representation from several companies across the industry as well as academia• Authors are leading and well-known Bayesian statisticians in the CMC field • Accompanying website with code for reproducibility • Reflective of real-life industry applications/problems
Bayesian Optimization with Application to Computer Experiments
AvTony Pourmohamad,Herbert K. H. Lee
Häftad, Engelska, 2021
778 kr
Skickas inom 10-15 vardagar
This book introduces readers to Bayesian optimization, highlighting advances in the field and showcasing its successful applications to computer experiments. R code is available as online supplementary material for most included examples, so that readers can better comprehend and reproduce methods. Compact and accessible, the volume is broken down into four chapters. Chapter 1 introduces the reader to the topic of computer experiments; it includes a variety of examples across many industries. Chapter 2 focuses on the task of surrogate model building and contains a mix of several different surrogate models that are used in the computer modeling and machine learning communities. Chapter 3 introduces the core concepts of Bayesian optimization and discusses unconstrained optimization. Chapter 4 moves on to constrained optimization, and showcases some of the most novel methods found in the field.This will be a useful companion to researchers and practitioners workingwith computer experiments and computer modeling. Additionally, readers with a background in machine learning but minimal background in computer experiments will find this book an interesting case study of the applicability of Bayesian optimization outside the realm of machine learning.
Bayesian Optimization with Application to Computer Experiments
AvHerbert K. H. Lee,Tony Pourmohamad
E-bok
Engelska, 2021
985 kr
Läs direkt efter köp
This book introduces readers to Bayesian optimization, highlighting advances in the field and showcasing its successful applications to computer experiments. R code is available as online supplementary material for most included examples, so that readers can better comprehend and reproduce methods.
Compact and accessible, the volume is broken down into four chapters. Chapter 1 introduces the reader to the topic of computer experiments; it includes a variety of examples across many industries. Chapter 2 focuses on the task of surrogate model building and contains a mix of several different surrogate models that are used in the computer modeling and machine learning communities. Chapter 3 introduces the core concepts of Bayesian optimization and discusses unconstrained optimization. Chapter 4 moves on to constrained optimization, and showcases some of the most novel methods found in the field.
This will be a useful companion to researchers and practitioners workingwith computer experiments and computer modeling. Additionally, readers with a background in machine learning but minimal background in computer experiments will find this book an interesting case study of the applicability of Bayesian optimization outside the realm of machine learning.

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Tony Pourmohamad – författare

Case Studies in Bayesian Methods for Biopharmaceutical CMC

Case Studies in Bayesian Methods for Biopharmaceutical CMC

Case Studies in Bayesian Methods for Biopharmaceutical CMC

Bayesian Optimization with Application to Computer Experiments

Bayesian Optimization with Application to Computer Experiments

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