Bayesian Data Analysis in Ecology Using Linear Models with R  Bugs  and Stan Book

Bayesian Data Analysis in Ecology Using Linear Models with R Bugs and Stan


  • Author : Franzi Korner-Nievergelt
  • Publisher : Academic Press
  • Release Date : 2015-04-09
  • Genre: Mathematics
  • Pages : 328
  • ISBN 10 : 0128013702

DOWNLOAD BOOK
Bayesian Data Analysis in Ecology Using Linear Models with R Bugs and Stan Excerpt :

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in an easy-to-understand approach, encouraging readers to examine the processes that generated their data. Including discussions of model selection, model checking, and multi-model inference, the book also uses effect plots that allow a natural interpretation of data. Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN introduces Bayesian software, using R for the simple modes, and flexible Bayesian software (BUGS and Stan) for the more complicated ones. Guiding the ready from easy toward more complex (real) data analyses ina step-by-step manner, the book presents problems and solutions-including all R codes-that are most often applicable to other data and questions, making it an invaluable resource for analyzing a variety of data types. Introduces Bayesian data analysis, allowing users to obtain uncertainty measurements easily for any derived parameter of interest Written in a step-by-step approach that allows for eased understanding by non-statisticians Includes a companion website containing R-code to help users conduct Bayesian data analyses on their own data All example data as well as additional functions are provided in the R-package blmeco

Bayesian Data Analysis in Ecology Using Linear Models with R  BUGS  and Stan Book

Bayesian Data Analysis in Ecology Using Linear Models with R BUGS and Stan


  • Author : Franzi Korner-Nievergelt
  • Publisher : Academic Press
  • Release Date : 2015-04-04
  • Genre: Science
  • Pages : 328
  • ISBN 10 : 9780128016787

DOWNLOAD BOOK
Bayesian Data Analysis in Ecology Using Linear Models with R BUGS and Stan Excerpt :

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in an easy-to-understand approach, encouraging readers to examine the processes that generated their data. Including discussions of model selection, model checking, and multi-model inference, the book also uses effect plots that allow a natural interpretation of data. Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN introduces Bayesian software, using R for the simple modes, and flexible Bayesian software (BUGS and Stan) for the more complicated ones. Guiding the ready from easy toward more complex (real) data analyses ina step-by-step manner, the book presents problems and solutions—including all R codes—that are most often applicable to other data and questions, making it an invaluable resource for analyzing a variety of data types. Introduces Bayesian data analysis, allowing users to obtain uncertainty measurements easily for any derived parameter of interest Written in a step-by-step approach that allows for eased understanding by non-statisticians Includes a companion website containing R-code to help users conduct Bayesian data analyses on their own data All example data as well as additional functions are provided in the R-package blmeco

Bayesian Models for Astrophysical Data Book

Bayesian Models for Astrophysical Data


  • Author : Joseph M. Hilbe
  • Publisher : Cambridge University Press
  • Release Date : 2017-04-27
  • Genre: Mathematics
  • Pages : 429
  • ISBN 10 : 9781107133082

DOWNLOAD BOOK
Bayesian Models for Astrophysical Data Excerpt :

A hands-on guide to Bayesian models with R, JAGS, Python, and Stan code, for a wide range of astronomical data types.

Spatial Data Analysis in Ecology and Agriculture Using R Book

Spatial Data Analysis in Ecology and Agriculture Using R


  • Author : Richard E. Plant
  • Publisher : CRC Press
  • Release Date : 2018-12-07
  • Genre: Science
  • Pages : 689
  • ISBN 10 : 9781351189897

DOWNLOAD BOOK
Spatial Data Analysis in Ecology and Agriculture Using R Excerpt :

Key features: Unique in its combination of serving as an introduction to spatial statistics and to modeling agricultural and ecological data using R Provides exercises in each chapter to facilitate the book's use as a course textbook or for self-study Adds new material on generalized additive models, point pattern analysis, and new methods of Bayesian analysis of spatial data. Includes a completely revised chapter on the analysis of spatiotemporal data featuring recently introduced software and methods Updates its coverage of R software including newly introduced packages Spatial Data Analysis in Ecology and Agriculture Using R, 2nd Edition provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology, agriculture, and environmental science. Readers have praised the book's practical coverage of spatial statistics, real-world examples, and user-friendly approach in presenting and explaining R code, aspects maintained in this update. Using data sets from cultivated and uncultivated ecosystems, the book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Additional material to accompany the book, on both analyzing satellite data and on multivariate analysis, can be accessed at https://www.plantsciences.ucdavis.edu/plant/additionaltopics.htm.

Applied Hierarchical Modeling in Ecology  Analysis of distribution  abundance and species richness in R and BUGS Book

Applied Hierarchical Modeling in Ecology Analysis of distribution abundance and species richness in R and BUGS


  • Author : Marc Kery
  • Publisher : Academic Press
  • Release Date : 2015-11-14
  • Genre: Nature
  • Pages : 808
  • ISBN 10 : 9780128014868

DOWNLOAD BOOK
Applied Hierarchical Modeling in Ecology Analysis of distribution abundance and species richness in R and BUGS Excerpt :

Applied Hierarchical Modeling in Ecology: Distribution, Abundance, Species Richness offers a new synthesis of the state-of-the-art of hierarchical models for plant and animal distribution, abundance, and community characteristics such as species richness using data collected in metapopulation designs. These types of data are extremely widespread in ecology and its applications in such areas as biodiversity monitoring and fisheries and wildlife management. This first volume explains static models/procedures in the context of hierarchical models that collectively represent a unified approach to ecological research, taking the reader from design, through data collection, and into analyses using a very powerful class of models. Applied Hierarchical Modeling in Ecology, Volume 1 serves as an indispensable manual for practicing field biologists, and as a graduate-level text for students in ecology, conservation biology, fisheries/wildlife management, and related fields. Provides a synthesis of important classes of models about distribution, abundance, and species richness while accommodating imperfect detection Presents models and methods for identifying unmarked individuals and species Written in a step-by-step approach accessible to non-statisticians and provides fully worked examples that serve as a template for readers' analyses Includes companion website containing data sets, code, solutions to exercises, and further information

Advancements in Bayesian Methods and Implementations Book

Advancements in Bayesian Methods and Implementations


  • Author : Anonim
  • Publisher : Academic Press
  • Release Date : 2022-09-30
  • Genre: Mathematics
  • Pages : 322
  • ISBN 10 : 9780323952699

DOWNLOAD BOOK
Advancements in Bayesian Methods and Implementations Excerpt :

Advancements in Bayesian Methods and Implementation, Volume 47 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Fisher Information, Cramer-Rao and Bayesian Paradigm, Compound beta binomial distribution functions, MCMC for GLMMS, Signal Processing and Bayesian, Mathematical theory of Bayesian statistics where all models are wrong, Machine Learning and Bayesian, Non-parametric Bayes, Bayesian testing, and Data Analysis with humans, Variational inference or Functional horseshoe, Generalized Bayes. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Handbook of Statistics series Updated release includes the latest information on Advancements in Bayesian Methods and Implementation

Handbook of Mixture Analysis Book

Handbook of Mixture Analysis


  • Author : Sylvia Fruhwirth-Schnatter
  • Publisher : CRC Press
  • Release Date : 2019-01-04
  • Genre: Computers
  • Pages : 388
  • ISBN 10 : 9780429508868

DOWNLOAD BOOK
Handbook of Mixture Analysis Excerpt :

Mixture models have been around for over 150 years, and they are found in many branches of statistical modelling, as a versatile and multifaceted tool. They can be applied to a wide range of data: univariate or multivariate, continuous or categorical, cross-sectional, time series, networks, and much more. Mixture analysis is a very active research topic in statistics and machine learning, with new developments in methodology and applications taking place all the time. The Handbook of Mixture Analysis is a very timely publication, presenting a broad overview of the methods and applications of this important field of research. It covers a wide array of topics, including the EM algorithm, Bayesian mixture models, model-based clustering, high-dimensional data, hidden Markov models, and applications in finance, genomics, and astronomy. Features: Provides a comprehensive overview of the methods and applications of mixture modelling and analysis Divided into three parts: Foundations and Methods; Mixture Modelling and Extensions; and Selected Applications Contains many worked examples using real data, together with computational implementation, to illustrate the methods described Includes contributions from the leading researchers in the field The Handbook of Mixture Analysis is targeted at graduate students and young researchers new to the field. It will also be an important reference for anyone working in this field, whether they are developing new methodology, or applying the models to real scientific problems.

Integrated Population Models Book

Integrated Population Models


  • Author : Michael Schaub
  • Publisher : Academic Press
  • Release Date : 2021-11-23
  • Genre: Nature
  • Pages : 638
  • ISBN 10 : 9780128209158

DOWNLOAD BOOK
Integrated Population Models Excerpt :

Integrated Population Models: Theory and Ecological Applications with R and JAGS is the first book on integrated population models, which constitute a powerful framework for combining multiple data sets from the population and the individual levels to estimate demographic parameters, and population size and trends. These models identify drivers of population dynamics and forecast the composition and trajectory of a population. Written by two population ecologists with expertise on integrated population modeling, this book provides a comprehensive synthesis of the relevant theory of integrated population models with an extensive overview of practical applications, using Bayesian methods by means of case studies. The book contains fully-documented, complete code for fitting all models in the free software, R and JAGS. It also includes all required code for pre- and post-model-fitting analysis. Integrated Population Models is an invaluable reference for researchers and practitioners involved in population analysis, and for graduate-level students in ecology, conservation biology, wildlife management, and related fields. The text is ideal for self-study and advanced graduate-level courses. Offers practical and accessible ecological applications of IPMs (integrated population models) Provides full documentation of analyzed code in the Bayesian framework Written and structured for an easy approach to the subject, especially for non-statisticians

Protection Strategy against Spruce Budworm Book

Protection Strategy against Spruce Budworm


  • Author : David A. MacLean
  • Publisher : MDPI
  • Release Date : 2020-01-15
  • Genre: Science
  • Pages : 220
  • ISBN 10 : 9783039280964

DOWNLOAD BOOK
Protection Strategy against Spruce Budworm Excerpt :

Spruce budworm (Choristoneura fumiferana (Clem.)) outbreaks are a dominant natural disturbance in the forests of Canada and northeastern USA. Widespread, severe defoliation by this native insect results in large-scale mortality and growth reductions of spruce (Picea sp.) and balsam fir (Abies balsamea (L.) Mill.) forests, and largely determines future age–class structure and productivity. The last major spruce budworm outbreak defoliated over 58 million hectares in the 1970s–1980s, and caused 32–43 million m3/year of timber volume losses from 1978 to 1987, in Canada. Management to deal with spruce budworm outbreaks has emphasized forest protection, spraying registered insecticides to prevent defoliation and keep trees alive. Other tactics can include salvage harvesting, altering harvest schedules to remove the most susceptible stands, or reducing future susceptibility by planting or thinning. Chemical insecticides are no longer used, and protection strategies use biological insecticides Bacillus thuringiensis (B.t.) or tebufenozide, a specific insect growth regulator. Over the last five years, a $30 million research project has tested another possible management tactic, termed an ‘early intervention strategy’, aimed at area-wide management of spruce budworm populations. This includes intensive monitoring to detect ‘hot spots’ of rising budworm populations before defoliation occurs, targeted insecticide treatment to prevent spread, and detailed research into target and non-target insect effects. The objective of this Special Issue is to compile the most recent research on protection strategies against spruce budworm. A series of papers will describe results and prospects for the use of an early intervention strategy in spruce budworm and other insect management.

Explorations in Empirical Translation Process Research Book

Explorations in Empirical Translation Process Research


  • Author : Michael Carl
  • Publisher : Springer Nature
  • Release Date : 2021-07-27
  • Genre: Language Arts & Disciplines
  • Pages : 412
  • ISBN 10 : 9783030697778

DOWNLOAD BOOK
Explorations in Empirical Translation Process Research Excerpt :

This book assembles fifteen original, interdisciplinary research chapters that explore methodological and conceptual considerations as well as user and usage studies to elucidate the relation between the translation product and translation/post-editing processes. It introduces numerous innovative empirical/data-driven measures as well as novel classification schemes and taxonomies to investigate and quantify the relation between translation quality and translation effort in from-scratch translation, machine translation post-editing and computer-assisted audiovisual translation. The volume addresses questions in the translation of cognates, neologisms, metaphors, and idioms, as well as figurative and cultural specific expressions. It re-assesses the notion of translation universals and translation literality, elaborates on the definition of translation units and syntactic equivalence, and investigates the impact of translation ambiguity and translation entropy. The results and findings are interpreted in the context of psycho-linguistic models of bilingualism and re-frame empirical translation process research within the context of modern dynamic cognitive theories of the mind. The volume bridges the gap between translation process research and machine translation research. It appeals to students and researchers in the fields.

Diversity  Freedom and Evolution Book

Diversity Freedom and Evolution


  • Author : William Magnusson
  • Publisher : Cambridge Scholars Publishing
  • Release Date : 2019-03-22
  • Genre: Science
  • Pages : 113
  • ISBN 10 : 9781527531871

DOWNLOAD BOOK
Diversity Freedom and Evolution Excerpt :

Science is responsible for most of the miracles that define modern life. This leads to the disconcerting situation where need and belief are in conflict. There is an enormous literature about science and evolution in particular, but all previous authors have missed the point that evolution gives us basic tenets that are not situation- or culture-dependent. This book shows that the potential for evolution is based on the tenets of diversity and freedom, which also underlie most of the ethical and moral values that people cherish, whatever their beliefs. Those values can apply to everything that has evolved or will evolve, whether they are humans, other organisms, machines or memes. There is potential for all people who believe in the power of evolution, whether they link that to other spiritual beliefs or not, to unite in a congregation of evolutionists. This will not only help reduce present-day conflicts; it will also be important in the future when we have to face other challenges, such as machine self-awareness. Evolution has made humans not only self-aware, but aware of the universe. As they are a part of the universe, that means that the universe is self-aware in the same sense as any other entity is self-aware, and this gives enormous potential to change the future that mainline physicists tell us will be dark and dead.

The New Statistics with R Book

The New Statistics with R


  • Author : Andy Hector
  • Publisher : Oxford University Press
  • Release Date : 2021
  • Genre: Mathematics
  • Pages : 277
  • ISBN 10 : 9780198798170

DOWNLOAD BOOK
The New Statistics with R Excerpt :

Statistical methods are a key tool for all scientists working with data, but learning the basics continues to challenge successive generations of students. This accessible textbook provides an up-to-date introduction to the classical techniques and modern extensions of linear model analysis-one of the most useful approaches for investigating scientific data in the life and environmental sciences. While some of the foundational analyses (e.g. t tests, regression, ANOVA) are as useful now as ever, best practice moves on and there are many new general developments that offer great potential. The book emphasizes an estimation-based approach that takes account of recent criticisms of over-use of probability values and introduces the alternative approach that uses information criteria. This new edition includes the latest advances in R and related software and has been thoroughly "road-tested" over the last decade to create a proven textbook that teaches linear and generalized linear model analysis to students of ecology, evolution, and environmental studies (including worked analyses of data sets relevant to all three disciplines). While R is used throughout, the focus remains firmly on statistical analysis. The New Statistics with R is suitable for senior undergraduate and graduate students, professional researchers, and practitioners in the fields of ecology, evolution and environmental studies.

Prediction and Causality in Econometrics and Related Topics Book

Prediction and Causality in Econometrics and Related Topics


  • Author : Nguyen Ngoc Thach
  • Publisher : Springer Nature
  • Release Date : 2021-07-26
  • Genre: Technology & Engineering
  • Pages : 682
  • ISBN 10 : 9783030770945

DOWNLOAD BOOK
Prediction and Causality in Econometrics and Related Topics Excerpt :

This book provides the ultimate goal of economic studies to predict how the economy develops—and what will happen if we implement different policies. To be able to do that, we need to have a good understanding of what causes what in economics. Prediction and causality in economics are the main topics of this book's chapters; they use both more traditional and more innovative techniques—including quantum ideas -- to make predictions about the world economy (international trade, exchange rates), about a country's economy (gross domestic product, stock index, inflation rate), and about individual enterprises, banks, and micro-finance institutions: their future performance (including the risk of bankruptcy), their stock prices, and their liquidity. Several papers study how COVID-19 has influenced the world economy. This book helps practitioners and researchers to learn more about prediction and causality in economics -- and to further develop this important research direction.

The Adaptive Value of Languages  Non Linguistic Causes of Language Diversity Book

The Adaptive Value of Languages Non Linguistic Causes of Language Diversity


  • Author : Antonio Benítez-Burraco
  • Publisher : Frontiers Media SA
  • Release Date : 2018-11-08
  • Genre: Uncategoriezed
  • Pages : 179
  • ISBN 10 : 9782889456314

DOWNLOAD BOOK
The Adaptive Value of Languages Non Linguistic Causes of Language Diversity Excerpt :

The goal of this eBook is to shed light on the non-linguistic causes of language diversity, and in particular, to explore the possibility that some aspects of the structure of languages may result from an adaptation to the natural and/or human-made environment. Traditionally, language diversity has been claimed to result from random, internally-motivated changes in language structure. However, ongoing research suggests instead that different factors that are external to language can promote language change and ultimately account for aspects of language diversity, specifically features of the social and physical environments. The contributions in this eBook discuss whether some aspects of languages are an adaptation to ecological, social, or even technological niches.