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1. Applied predictive modeling
by Kuhn, Max and Johnson, Kjell
2013, ISBN 9781461468493, xiii, 600
Book specializes in data analysis with focus on practice of predictive modelingUseful as a guide for practitionersReader can reproduce all results using R. 
Prediction theory | Mathematical statistics | Mathematical models | Statistics | Statistics and Computing/Statistics Programs | Statistics, general | Statistics for Life Sciences, Medicine, Health Sciences
Book
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2. Probabilistic graphical models for genetics, genomics, and postgenomics
by Sinoquet, Christine, editor and Mourad, Raphael
2014, First edition., ISBN 0198709021, xxvii, 449 pages, 4 unnumbered pages of color plates
Nowadays bioinformaticians and geneticists are faced with myriad high-throughput data usually presenting the characteristics of uncertainty, high... 
Genetics | Mathematical models | Genomics | probability and statistics | bioinformatics and computational biology | Statistical methods | Graphical modeling (Statistics) | Life Sciences | Human health and pathology | Quantitative Methods | Vegetal Biology | Statistics | Machine Learning
Book
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3. Applied predictive modeling
by Kuhn, Max and Johnson, Kjell
2013, ISBN 9781461468493, xiii, 600
Book specializes in data analysis with focus on practice of predictive modelingUseful as a guide for practitionersReader can reproduce all results using R. 
Prediction theory | Mathematical statistics | Mathematical models | Statistics
Book
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4. Foundations of predictive analytics
by Wu, James, 1965 and Coggeshall, Stephen
2012, Chapman & Hall/CRC data mining and knowledge discovery series, ISBN 1439869464, xix, 317
"Preface this text is a summary of techniques of data analysis and modeling that the authors have encountered and used in our two-decades experience of... 
Automatic control | Mathematical models | Data mining | Predictive control
Book
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5. The global forest products model
: structure, estimation, and applications
by Buongiorno, Joseph
2003, ISBN 0121413624, xv, 301
The Global Forest Products Model (GFPM) book provides a complete introduction to this widely applied computer model. The GFPM is a dynamic economic equilibrium... 
Forest products industry | Industry & industrial studies
Book
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6. Bayesian brain
: probabilistic approaches to neural coding
2007, ISBN 9780262042383, xiii, 326
Book
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7. Full Text Predicting industrial‐scale cell culture seed trains–A Bayesian framework for model fitting and parameter estimation, dealing with uncertainty in measurements and model parameters, applied to a nonlinear kinetic cell culture model, using an MCMC method
by Hernández Rodríguez, Tanja and Posch, Christoph and Schmutzhard, Julia and Stettner, Josef and Weihs, Claus and Pörtner, Ralf and Frahm, Björn
Biotechnology and Bioengineering, ISSN 0006-3592, 11/2019, Volume 116, Issue 11, pp. 2944 - 2959
For production of biopharmaceuticals in suspension cell culture, seed trains are required to increase cell number from cell thawing up to production scale.... 
seed train prediction | CHO cell culture | uncertainty | Bayes | Markov chain Monte Carlo (MCMC) | Monte Carlo method | Cell culture | Biotechnology | Parameter estimation | Impact prediction | Cultivation | Computer simulation | Markov chains | Thawing | Optimization | Design optimization | Cell number | Parameter uncertainty | Mathematical models | Bayesian analysis
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8. Full Text Estimate global risks of a forest disease under current and future climates using species distribution model and simple thermal model – Pine Wilt disease as a model case
by Ikegami, Makihiko and Jenkins, Thomas A.R
Forest Ecology and Management, ISSN 0378-1127, 02/2018, Volume 409, pp. 343 - 352
Predicting distributions of a pest species is an important part of Pest Risk Analysis, but it is not always an easy task. Expert knowledge may help, yet,... 
Species distribution model | Climate change | Pest risk analysis | Pine Wilt Disease | Forest pathology | PORTUGAL | 1ST REPORT | PREDICTION | VECTOR | BURSAPHELENCHUS-XYLOPHILUS | JAPAN | FORESTRY | WOOD NEMATODE | SPREAD | COLEOPTERA | CERAMBYCIDAE | Medicine, Experimental | Medical research | Climate | Global temperature changes | Animal behavior | Nematoda
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9. Full Text Applied Bayesian modeling and causal inference from incomplete-data perspectives
: an essential journey with Donald Rubin's statistical family
by Rubin, Donald B and Gelman, Andrew and Meng, Xiao-Li
2004, Wiley series in probability and statistics, ISBN 047009043X
Bayesian statistical decision theory | Missing observations (Statistics)
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10. Full Text Comparison of various revised k– ε models and LES applied to flow around a high-rise building model with 1:1:2 shape placed within the surface boundary layer
by Tominaga, Yoshihide and Mochida, Akashi and Murakami, Shuzo and Sawaki, Satoshi
Journal of Wind Engineering & Industrial Aerodynamics, ISSN 0167-6105, 2008, Volume 96, Issue 4, pp. 389 - 411
This paper compares computational fluid dynamics (CFD) results using various revised – models and large eddy simulation (LES) applied to flow around a... 
Reattachment length | Velocity fluctuation | LES | Revised k– ε model | 1:1:2 shape | High-rise building | Revised k-ε model | BLUFF-BODY | revised k-r model | 1 : 1 : 2 shape | CFD PREDICTION | CUBE | ENGINEERING, CIVIL | MECHANICS | high-rise building | TURBULENCE MODELS | velocity fluctuation | SIMULATIONS | reattachment length
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11. Full Text A third‐generation wave model for coastal regions: 1. Model description and validation
by Booij, N and Ris, R. C and Holthuijsen, L. H
Journal of Geophysical Research: Oceans, ISSN 0148-0227, 04/1999, Volume 104, Issue C4, pp. 7649 - 7666
A third‐generation numerical wave model to compute random, short‐crested waves in coastal regions with shallow water and ambient currents (Simulating Waves... 
SHALLOW-WATER | WIND-SEA | BOTTOM FRICTION | DIRECTIONAL SPECTRA | FETCH LIMITED WAVES | OCEANOGRAPHY | PARABOLIC EQUATION METHOD | BOUSSINESQ EQUATIONS | FINITE DEPTH | PREDICTION MODEL | SURFACE GRAVITY-WAVES
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