Dennis et al., 1998 - Google Patents
Joint density dependenceDennis et al., 1998
View PDF- Document ID
- 10303534526617299571
- Author
- Dennis B
- Kemp W
- Taper M
- Publication year
- Publication venue
- Ecology
External Links
Snippet
We present a new multivariate model for describing jointly fluctuating, density‐dependent populations. The model is a stochastic, multivariate version of a discrete‐time logistic model that explicitly accounts for spatial variation of growth rate parameters and covariances of …
- 238000007476 Maximum Likelihood 0 abstract description 34
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30587—Details of specialised database models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
- G06Q30/0202—Market predictions or demand forecasting
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Fieberg et al. | Stochastic matrix models for conservation and management: a comparative review of methods | |
Araya‐Ajoy et al. | An approach to estimate short‐term, long‐term and reaction norm repeatability | |
Clark | Uncertainty and variability in demography and population growth: a hierarchical approach | |
Rees et al. | Building integral projection models: a user's guide | |
Ives et al. | Statistics for correlated data: phylogenies, space, and time | |
Isaac et al. | Statistics for citizen science: extracting signals of change from noisy ecological data | |
Cross et al. | Using logistic regression to analyze the sensitivity of PVA models: a comparison of methods based on African wild dog models | |
Thorson et al. | The importance of spatial models for estimating the strength of density dependence | |
Dennis et al. | Joint density dependence | |
Grant et al. | Elasticity analysis for density‐dependent populations in stochastic environments | |
Harris | Generating realistic assemblages with a joint species distribution model | |
Clark et al. | Estimating population spread: what can we forecast and how well? | |
Metcalf et al. | IPM pack: an R package for integral projection models | |
Coulson et al. | Using evolutionary demography to link life history theory, quantitative genetics and population ecology | |
Hosack et al. | Assessing model structure uncertainty through an analysis of system feedback and Bayesian networks | |
Pfister et al. | Individual variation and environmental stochasticity: implications for matrix model predictions | |
Kaye et al. | The effect of stochastic technique on estimates of population viability from transition matrix models | |
Elderd et al. | Quantifying demographic uncertainty: Bayesian methods for integral projection models | |
Cisneros-Mata et al. | Projecting viability of Totoaba macdonaldi, a population with unknown age‐dependent variability | |
Dennis et al. | Density‐dependent state‐space model for population‐abundance data with unequal time intervals | |
Dennis et al. | Replicated sampling increases efficiency in monitoring biological populations | |
Crone | Contrasting effects of spatial heterogeneity and environmental stochasticity on population dynamics of a perennial wildflower | |
Broms et al. | Accounting for imperfect detection in Hill numbers for biodiversity studies | |
Besozzi et al. | Modelling metapopulations with stochastic membrane systems | |
van Benthem et al. | Disentangling evolutionary, plastic and demographic processes underlying trait dynamics: a review of four frameworks |