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Model guided adaptive design and Analysis in computer experiment

Statistical Analysis and Data Mining 2012年第5期5卷 399-409页

作者： Yu, Qingzhao Li, Bin Fang, Zhide Peng, Lu Biostatistics Program School of Public Health Louisiana State University Health Sciences Center New Orleans LA United States Department of Experimental Statistics Louisiana State University Baton Rouge LA United States Department of Electrical and Computer Engineering Louisiana State University Baton Rouge LA United States

Computer experiments have become increasingly important in several different industries. These experiments save resources by exploring different designs without necessitating real hardware manufacturing. However, computer experiments usually require lengthy simulation times and powerful computational capacity. Therefore, it is often pragmatically impossible to run experiments on a complete design space. In this paper, we propose an adaptive sampling scheme that interactively works with predictive models to sequentially select design points for computer experiments. The selected samples are used to build predictive models, which in turn guide further sampling and predict the entire design space. For illustration, we use Bayesian additive regression trees (BART), multiple additive regression trees (MART), treed Gaussian process and Gaussian process to guide the proposed sampling method. Both real data and simulation studies show that our sampling method is effective in that (i) it can be used with different predictive models;(ii) it can select multiple design points without repeatedly refitting the predictive models, which makes parallel simulations possible and (iii) the predictive model built on its generated samples gives more accurate predictions on the unsampled points than the models built on samples from other methods such as random sampling, space-filling designs and some adaptive sampling methods. © 2012 Wiley Periodicals, Inc.

关键词： Sampling

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Effect of Ocean Iron Fertilization on the Phytoplankton Biological Carbon Pump

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Advances in Applied Mathematics and Mechanics 2011年第1期3卷 52-64页

作者： Adam Pan Babak Pourziaei Huaxiong Huang Department of Mathematics and Statistics York UniversityTorontoOntarioCanada M3J 1P3 Program of Engineering Science University of TorontoTorontoOntarioCanada M5S 1A1

It has been proposed that photosynthetic plankton can be used as a biological carbon pump tp absorb and sequester carbon dioxide in the *** this paper,plankton population dynamics are simulated in a single stratified water column to predict carbon dioxide sequestering due to surface iron fertilization in deep *** a predator-prey model and realistic parameter values,iron fertilization was found to only cause temporary blooms up to 5 months in duration,and relatively small increases in adsorption of atmospheric CO_(2).

关键词： Phytoplankton carbon dioxide iron fertilization carbon pump

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Sufficient conditions for closed-loop control over a Gaussian relay channel

Sufficient conditions for closed-loop control over a Gaussia...

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作者： Zaidi, Ali A. Oechtering, Tobias J. Yüksel, Serdar Skoglund, Mikael Stockholm Sweden Mathematics and Engineering Program Department of Mathematics and Statistics Queen's University Kingston ON K7L 3N6 Canada

ISBN: (纸本)9781457700804

The problem of remotely stabilizing a noisy first order linear time invariant system with an arbitrary distributed initial state over a general half-duplex white Gaussian relay channel is addressed. We propose to use linear and memoryless communication and control strategies which are based on the Schalkwijk-Kailath coding scheme. By employing the proposed scheme over the general half-duplex Gaussian relay channel, we derive sufficient conditions for mean square stability of the noisy first order linear time invariant dynamical system. © 2011 AACC American Automatic Control Council.

关键词： Linear time-invariant system

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EQTL AND MUTATIONAL ANALYSIS OF NB-LRR MEDIATED IMMUNITY TO POWDERY MILDEW

EQTL AND MUTATIONAL ANALYSIS OF NB-LRR MEDIATED IMMUNITY TO ...

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The 13th International Cereal Rusts and Powdery Mildews Conference(第13届国际禾谷类锈病与白粉病大会)

作者： Roger WISE Priyanka SURANA Greg FUERST Ruo XU Divya MISTRY Julie DICKERSON Dan NETTLETON Department of Statistics Iowa State UniversityAmesIowa 50011 Department of Plant Pathology and Microbiology Center for Plant Responses to Environmental StressesIowa State UniversityAmesIowa 50011 Department of StatisticsIowa State UniversityAmesIowa 50011 Bioinformatics and Computational Biology Graduate ProgramIowa State UniversityAmesIowa 50011 Department of Electrical and Computer Engineering Iowa State UniversityAmesIowa 50011USA Bioinformatics and Computational Biology Graduate ProgramIowa State UniversityAmesIowa 50011 Bioinformatics and Computational Biology Graduate Program Iowa State UniversityAmesIowa 50011 Department of Plant Pathology and MicrobiologyCenter for Plant Responses to Environmental StressesIowa State UniversityAmesIowa 50011 Department of Plant Pathology and Microbiology Center for Plant Responses to Environmental StressesIowa State UniversityAmesIowa 50011 Bioinformatics and Computational Biology Graduate Program Iowa State UniversityAmesIowa 50011 Crop and Insect GeneticsGenomicsand Informatics Research UnitU.S.Department of Agriculture-Agricultural Research ServiceIowa State UniversityAmesIowa 50011 Crop and Insect Genetics Genomicsand Informatics Research UnitU.S.Department of Agriculture-Agricultural Research ServiceIowa State UniversityAmesIowa 50011

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The ABCs of Experimental Evolution

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International Scholarly Research Notices 2013年第1期2013卷

作者： Zaid Abdo Mathew Stein Andrzej Wojtowicz Kim M. Pepin Departments of Statistics University of Idaho Moscow ID 83844 USAuidaho.edu Department of Mathematics University of Idaho Moscow ID 83844 USAuidaho.edu Program of Bioinformatics and Computational Biology (BCB) University of Idaho Moscow ID 83844 USAuidaho.edu USDA-ARS South Atlantic Area 950 College Station Road Athens GA 30605-2720 USA Department of Computer Engineering University of Idaho Moscow ID 83844 USAuidaho.edu Micron Technology Inc. Boise ID 83716 *** Department of Animal Sciences Washington State University Pullman WA 99164 USAwsu.edu Fogarty International Center National Institutes of Health 31 Center Drive MSC 2220 Bethesda MD 20892-2220 USAfic.nih.gov Department of Biology Colorado State University Campus Delivery 1878 Fort Collins CO 80523 USAcolostate.edu

Microbial evolution is complex and is influenced by many sources of variation. Experimental evolution is no exception, although it is more controlled, easily replicated, and typically devoid of interactions between species. Mathematical modeling of the evolutionary process can help in understanding the underlying mechanisms that drive outcome of such experiments. These models can be complex and parameter rich, limiting their feasibility for statistical inference. In this paper, we introduce the use of Approximate Bayesian Computation (ABC) as a tool for statistical inference in the study of experimental evolution. ABC is a fast and simple method for fitting complex models to data. We utilize this method, coupled with a mechanistic model of experimental evolution, to study the evolution process of bacteriophage ϕ X174 under benign selection pressure. Our results highlight three mutation-selection scenarios that could explain this process: high mutation/low selection pressure, low mutation/high selection pressure, and low mutation/low selection pressure, with posterior support of 19%, 9.5%, and 71.5% for each of these scenarios, respectively. Sequence data support the first candidate. Though surprising, this scenario was not improbable based on our analysis.

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SYSTEMS BIOLOGY IN BARLEY POWDERY MILDEW INTERACTIONS

SYSTEMS BIOLOGY IN BARLEY POWDERY MILDEW INTERACTIONS

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The 13th International Cereal Rusts and Powdery Mildews Conference(第13届国际禾谷类锈病与白粉病大会)

作者： Roger WISE Priyanka SURANA Greg FUERST Ruo XU Dan NETTLETON Divya MISTRY Julie DICKERSON Lin WANG Tom BRUTNELL Department of Plant Pathology and Microbiology Center for Plant Responses to Environmental StressesIowa State UniversityAmesIowa 50011USA Department of Statistics Iowa State UniversityAmesIowa 50011USA Bioinformatics and Computational Biology Graduate ProgramIowa State UniversityAmesIowa 50011USA Bioinformatics and Computational Biology Graduate ProgramIowa State UniversityAmesIowa 50011USA Bioinformatics and Computational Biology Graduate Program Iowa State UniversityAmesIowa 50011USA Department of Plant Pathology and MicrobiologyCenter for Plant Responses to Environmental StressesIowa State UniversityAmesIowa 50011USA Crop and Insect Genetics Genomicsand Informatics Research UnitU.S.Department of Agriculture-Agricultural Research ServiceIowa State UniversityAmesIowa 50011USA Department of Plant Pathology and Microbiology Center for Plant Responses to Environmental StressesIowa State UniversityAmesIowa 50011USA Department of StatisticsIowa State UniversityAmesIowa 50011USA Bioinformatics and Computational Biology Graduate ProgramIowa State UniversityAmesIowa 50011USA Bioinformatics and Computational Biology Graduate Program Iowa State UniversityAmesIowa 50011USA Crop and Insect GeneticsGenomicsand Informatics Research UnitU.S.Department of Agriculture-Agricultural Research ServiceIowa State UniversityAmesIowa 50011USA Department of Electrical and Computer Engineering Iowa State UniversityAmesIowa 50011USA Boyce Thompson Institute for Plant ResearchCornell UniversityIthacaNY

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ESICM LIVES 2016: part three

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Intensive Care Medicine Experimental 2016年第1期4卷 405-607页

作者： Velasquez, T. Mackey, G. Lusk, J. Kyle, U. G. Fontenot, T. Marshall, P. Shekerdemian, L. S. Coss-Bu, J. A. Nishigaki, A. Yatabe, T. Tamura, T. Yamashita, K. Yokoyama, M. Ruiz-Rodriguez, J. C. Encina, B. Belmonte, R. Troncoso, I. Tormos, P. Riveiro, M. Baena, J. Sanchez, A. Bañeras, J. Cordón, J. Duran, N. Ruiz, A. Caballero, J. Nuvials, X. Riera, J. Serra, J. Rutten, A. M. F. van Ieperen, S. N. M. Der Kinderen, E. P. H. M. Van Logten, T. Kovacikova, L. Skrak, P. Zahorec, M. Akcan-Arikan, A. Silva, J. C. Goldsworthy, M. Wood, D. Harrison, D. Parslow, R. Davis, P. Pappachan, J. Goodwin, S. Ramnarayan, P. Chernyshuk, S. Yemets, H. Zhovnir, V. Pulitano’, S. M. De Rosa, S. Mancino, A. Villa, G. Tosi, F. Franchi, P. Conti, G. Patel, B. Khine, H. Shah, A. Sung, D. Singer, L. Haghbin, S. Inaloo, S. Serati, Z. Idei, M. Nomura, T. Yamamoto, N. Sakai, Y. Yoshida, T. Matsuda, Y. Yamaguchi, Y. Takaki, S. Yamaguchi, O. Goto, T. Longani, N. Medar, S. Abdel-Aal, I. R. El Adawy, A. S. Mohammed, H. M. E. H. Mohamed, A. N. Parry, S. M. Knight, L. D. Denehy, L. De Morton, N. Baldwin, C. E. Sani, D. Kayambu, G. da Silva, V. Z. M. Phongpagdi, P. Puthucheary, Z. A. Granger, C. L. Rydingsward, J. E. Horkan, C. M. Christopher, K. B. McWilliams, D. Jones, C. Reeves, E. Atkins, G. Snelson, C. Aitken, L. M. Rattray, J. Kenardy, J. Hull, A. M. Ullman, A. Le Brocque, R. Mitchell, M. Davis, C. Macfarlane, B. Azevedo, J. C. Rocha, L. L. De Freitas, F. F. M. Cavalheiro, A. M. Lucinio, N. M. Lobato, M. S. Ebeling, G. Kraegpoeth, A. Laerkner, E. De Brito-Ashurst, I. White, C. Gregory, S. Forni, L. G. Flowers, E. Curtis, A. Wood, C. A. Siu, K. Venkatesan, K. Muhammad, J. B. H. Ng, L. Seet, E. Baptista, N. Escoval, A. Tomas, E. Agrawal, R. Mathew, R. Varma, A. Dima, E. Charitidou, E. Perivolioti, E. Pratikaki, M. Vrettou, C. Giannopoulos, A. Zakynthinos, S. Routsi, C. Atchade, E. Houzé, S. Jean-Baptiste, S. Thabut, G. Genève, C. Tanaka, S. Lortat-Jacob, B. Augustin, P. Desmard, M. Montravers, P. de Molina, F. J. González Barbadillo, S. Alejandro, R. Texas Children’s Hospital Clinical Nutriiton Houston USA Texas Children’s Hospital Intensive Care Houston USA Baylor College of Medicine Pediatrics Houston USA Kochi Medical School Department of Anesthesiology and Intensive Care Medicine Nankoku Japan Vall d’ Hebron University Hospital Critical Care Department Barcelona Spain Vall d’ Hebron University Hospital Anesthesia & Reanimation Department Barcelona Spain Vall d’ Hebron University Hospital Neurocritical Care Department Barcelona Spain Vall d’ Hebron University Hospital Coronary Care Unit Barcelona Spain Sagrat Cor University Hospital Critical Care Department Barcelona Spain St Elisabeth Twee Steden Hospital ICU Tilburg Netherlands National Institute of Cardiovascular Diseases PCICU Bratislava Slovakia National Institute of Cardiovascular Diseases Bratislava Slovakia National Institute of Cardiovascular Diseases Pediatric Cardiac Intensive Care Unit Bratislava Slovakia Texas Children’s Hospital Renal Service Houston USA Bristol Royal Hospital for Children Paediatric Intensive Care Unit Bristol UK Intensive Care National Audit & Research Centre (ICNARC) London UK University of Leeds Leeds UK Southampton University Hospitals NHS Trust Southampton UK Great Ormond Street Hospital London UK UCCC ICU Kyiv Ukraine Catholic University Department of Anesthesia and Intensive Care Rome Italy International Renal Research Institute of Vicenza (IRRIV) Department of Nephrology Dialysis and Transplantation Vicenza Italy University of Florence Department of Health Science Section of Anaesthesiology and Intensive Care Florence Italy The Children’s Hospital at Montefiore Pediatric Critical Care Bronx USA The Children’s Hospital at Montefiore Bronx USA Shiraz University of Medical Sciences Pediatric intensive Care Shiraz Islamic Republic of Iran Shiraz University of Medical Sciences Shiraz Islamic Republic of Iran Yokohama City University Hospital Intensive Care Unit Yokohama Japan Yokohama City Univ

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A context-aware recommendation system to behavioral based authentication in mobile and pervasive environments

A context-aware recommendation system to behavioral based au...

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2011 IFIP 9th International Conference on Embedded and Ubiquitous Computing, EUC 2011

作者： Lima, João Carlos D. Rocha, Cristiano C. Augustin, Iara Dantas, Mário A.R. Department of Knowledge Engineering Federal University of Santa Catarina Brazil Centro de Informática e Automação Estado de Santa Catarina Florianpolis Brazil Informatics Graduation Program Federal University of Santa Maria Brazil Department of Informatics and Statistics Federal University of Santa Catarina Brazil

ISBN: (纸本)9780769545523

Mobile devices use traditional authentication processes, which are vulnerable and unsuitable for highly dynamic environments, such as ubiquitous and pervasive environments. Therefore, new approaches are necessary in such environments. These approaches must be (i) context-aware by considering environmental and operational characteristics, restrictions of devices and information provided by sensors within the pervasive space;and (ii) customizable for balancing the systems proactivity with the control that the user wants to have over his systems. In this paper, it is presented an approach that provides a recommendation system based on the user behavior and the pervasive space where he belongs. The user behavior is defined by the actions and events that compose the activity that is being performed. The experimental results indicate (a) a dynamic and autonomic mechanism, which is more suitable for authenticating users in mobile and pervasive environments, and (b) significant efficiency to detect authentication anomalies by using a similarity model and a spatio-temporal permutation model. © 2011 IEEE.

关键词： Authentication

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Sufficient Conditions for Closed-Loop Control Over a Gaussian Relay Channel

Sufficient Conditions for Closed-Loop Control Over a Gaussia...

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2011 American Control Conference (ACC)

作者： Ali A. Zaidi Tobias J. Oechtering Serdar Yuksel Mikael Skoglund School of Electrical Engineering and the ACCESS Linnaeus Center Royal Institute of Technology Stockholm Sweden Mathematics and Engineering Program and the Department of Mathematics and Statistics Queen''s University Kingston ONT Canada

关键词： Relays Decoding Noise measurement AWGN Information rates Encoding

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On Optimal Policies for Control and Estimation Over a Gaussian Relay Channel

On Optimal Policies for Control and Estimation Over a Gaussi...

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IEEE Conference on Decision and Control

作者： Ali A. Zaidi Serdar Yuksel Tobias J. Oechtering Mikael Skoglund School of Electrical Engineering and the ACCESS Linnaeus Center Royal Institute of Technology (KTH) Stockholm Sweden Mathematics and Engineering Program Department of Mathematics and Statistics Queen's University Kingston Ontario Canada

ISBN: (纸本)9781612848006

The problem of causal transmission of a memoryless Gaussian source over a two-hop memoryless Gaussian relay channel is considered. The source and the relay encoders have average transmit power constraints, and the performance criterion is mean squared distortion. The main contribution of this paper is to show that unlike in the case of a point-to-point channel, linear encoding schemes are not optimal over a two-hop relay channel in general, extending the sub-optimality results which are known for more than two hops. In some cases, simple three level quantization policies employed at the source and at the relay can outperform the best linear policies. Further a lower bound on the distortion is derived and it is shown that the distortion bounds derived using cut-set arguments are not tight in general for sensor networks.

关键词： Relays Nonlinear distortion Encoding Neodymium Decoding Noise Distortion measurement

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