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1. Full Text Integrated modeling of bilateral photo-identification data in mark—recapture analyses
by Brett T. McClintock and Paul B. Conn and Robert S. Alonso and Kevin R. Crooks
Ecology (Durham), ISSN 0012-9658, 7/2013, Volume 94, Issue 7, pp. 1464 - 1471
Historical accounts | Animals | Mark release recapture | Data types | Population estimates | Cameras | Reports | Photographs | Bobcats | Modeling | Applied ecology | latent multinomial | remote camera trapping | noninvasive capture–recapture | photo-identification | mark–resight | abundance | Abundance | Noninvasive capture-recapture | Photoidentification | Remote camera trapping | Mark-resight | Latent multinomial | Environmental Sciences & Ecology | Ecology | Life Sciences & Biomedicine | Science & Technology | Fundamental and applied biological sciences. Psychology | Biological and medical sciences | General aspects | Animal and plant ecology | Animal, plant and microbial ecology | Markov Chains | Models, Biological | Computer Simulation | Ecosystem | Population Density | California | Lynx - physiology | Monte Carlo Method | Zoological research | Bobcat | Identification and classification | Methods | Data analysis | Animal behavior | Index Medicus
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2. Full Text TreeBUGS: An R package for hierarchical multinomial-processing-tree modeling
by Heck, Daniel W and Heck, Daniel W and Arnold, Nina R and Arnold, Nina R and Arnold, Denis and Arnold, Denis
Behavior research methods, ISSN 1554-351X, 2/2018, Volume 50, Issue 1, pp. 264 - 284
Multinomial modeling | Psychology | Individual differences | Hierarchical modeling | Cognitive Psychology | Bayesian inference | R package | Psychology, Experimental | Social Sciences | Psychology, Mathematical | Markov Chains | Humans | Bayes Theorem | Individuality | Models, Psychological | Cognition | Mathematics | Monte Carlo Method | Measurement | Parameter estimation | Statistical analysis | Parameters | Computer simulation | Cognitive ability | Markov chains | Statistical methods | Statistical tests | Goodness of fit | Heterogeneity | Homogeneity | Mathematical models | Bayesian analysis | Monte Carlo simulation | Index Medicus
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3. Full Text Modeling ingrowth for empirical forest prediction systems
by Zell, Jürgen and Rohner, Brigitte and Thürig, Esther and Stadelmann, Golo
Forest ecology and management, ISSN 0378-1127, 02/2019, Volume 433, pp. 771 - 779
Swiss national forest inventory | Recruitment modeling | Zero inflation | Multinomial regression | Forest scenario model | Poisson distribution | Weibull distribution | Negative binomial distribution | Life Sciences & Biomedicine | Forestry | Science & Technology
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4. Full Text Hierarchical Multinomial Modeling Approaches
: An Application to Prospective Memory and Working Memory
by Arnold, Nina R and Bayen, Ute J and Smith, Rebekah E
Experimental psychology, ISSN 1618-3169, 2015, Volume 62, Issue 3, pp. 143 - 152
Multinomial modeling | Prospective memory | Working memory | Hierarchical modeling | Individual differences | Psychology, Experimental | Psychology | Social Sciences | Memory, Episodic | Models, Psychological | Memory, Short-Term - physiology | Retrospective Studies | Prospective Studies | Humans | Index Medicus | multinomial modeling | prospective memory | working memory | hierarchical modeling | individual differences
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5. Full Text Dirichlet‐multinomial modelling outperforms alternatives for analysis of microbiome and other ecological count data
by Harrison, Joshua G and Calder, W. John and Shastry, Vivaswat and Buerkle, C. Alex
Molecular ecology resources, ISSN 1755-098X, 03/2020, Volume 20, Issue 2, pp. 481 - 497
JAGS | transcriptome | multinomial | microbial ecology | microbiome | Hamiltonian Monte Carlo | Bayesian statistics | Markov chain Monte Carlo | hierarchical modelling | stan | Dirichlet | variational inference | compositional data analysis | Biochemistry & Molecular Biology | Environmental Sciences & Ecology | Ecology | Life Sciences & Biomedicine | Evolutionary Biology | Science & Technology | Monte Carlo method | Sensitivity analysis | Computer simulation | Identification methods | Microbiomes | Markov chains | Abundance | Statistical methods | Markov analysis | Statistics | Lungs | Relative abundance | Computer applications | Ecological monitoring | Dirichlet problem | Statistical inference | Sampling | Index Medicus
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6. Full Text Multi-scale assessment and spatial modelling of agricultural land abandonment in a European peripheral region: Galicia (Spain), 1956–2004
by Corbelle-Rico, E and Crecente-Maseda, R and Santé-Riveira, I
Land use policy, ISSN 0264-8377, 2012, Volume 29, Issue 3, pp. 493 - 501
Land abandonment | Multinomial logistic model | CAP reform | Afforestation | Land use change | Environmental Studies | Environmental Sciences & Ecology | Life Sciences & Biomedicine | Science & Technology | Agricultural industry | Models | Real property | Agricultural land | Valuation
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7. Full Text Modeling household cooking fuel choice: A panel multinomial logit approach
by Alem, Yonas and Beyene, Abebe D and Köhlin, Gunnar and Mekonnen, Alemu and Department of Economics and Institutionen för nationalekonomi med statistik and Handelshögskolan and Göteborgs universitet and Gothenburg University and School of Business, Economics, and Law
Energy economics, ISSN 0140-9883, 09/2016, Volume 59, pp. 129 - 137
Urban | Energy choice | Ethiopia | Random effects multinomial logit | Economics | Business & Economics | Social Sciences | Analysis | Models | Fuel | Environmental economics | Economic models | Cooking | Logit models | Households | Urban areas | Energy sources | Energy policy | Fuels | Economic development | Studies | Heterogeneity | Prices | Panel data | Alternative energy sources | Energy | Economic growth | Determinants | Residential energy | Clean energy | Nationalekonomi | Energisystem | Energy Systems
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8. Full Text Is flow velocity important in tsunami empirical fragility modeling?
by De Risi, Raffaele and Goda, Katsuichiro and Yasuda, Tomohiro and Mori, Nobuhito
Earth-science reviews, ISSN 0012-8252, 03/2017, Volume 166, pp. 64 - 82
Inundation depth | Flow velocity | Tsunami simulation | Explanatory analysis | Tsunami fragility | Multinomial regression | Geosciences, Multidisciplinary | Physical Sciences | Geology | Science & Technology
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9. Full Text Multi-Scale Multi-Feature Context Modeling for Scene Recognition in the Semantic Manifold
by Xinhang Song and Shuqiang Jiang and Herranz, Luis
IEEE transactions on image processing, ISSN 1057-7149, 06/2017, Volume 26, Issue 6, pp. 2721 - 2735
Context | semantic multinomial | multi-scale | Markov random field | semantic manifold | Manifolds | Support vector machines | Semantics | Neural networks | context model | convolutional neural networks | Scene recognition | Kernel | Context modeling | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Kernels | Usage | Analysis | Markov processes | Big data | Research
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10. Full Text Modeling Online Browsing and Path Analysis Using Clickstream Data
by Montgomery, Alan L and Li, Shibo and Srinivasan, Kannan and Liechty, John C
Marketing science (Providence, R.I.), ISSN 0732-2399, 01/2004, Volume 23, Issue 4, pp. 579 - 595
personalization | multinomial probit model | hidden Markov chain models | vector autoregressive models | hierarchical Bayes models | Information search and retrieval | Vector autoregression | Websites | Stock conversion ratios | Hyperlinks | Markov models | Shopping | Modeling | Marketing | Home pages | Hierarchical bayes models | Multinomial probit model | Personalization | Hidden markov chain models | Vector autoregressive models | Business & Economics | Social Sciences | Business | personalization; multinomial probit model; hierarchical Bayes models; hidden Markov chain models; vector autoregressive models | Autoregression (Statistics) | Markov processes | Models | Studies | Consumer behavior | Bookstores | Data collection | Mathematical models | Web sites
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