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Selection and estimation of sequential catch-at-age models
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jmsc.1999.0498openalex-snapshot
Extended survivors analysis: An improved method for the analysis of catch-at-age data and abundance indices
inferredcites →https://doi.org/10.1016/j.csda.2006.03.005openalex-snapshot
Automatic approximation of the marginal likelihood in non-Gaussian hierarchical models
inferredcites →https://doi.org/10.1016/j.fishres.2011.01.021openalex-snapshot
Estimating natural mortality within a fisheries stock assessment model: An evaluation using simulation analysis based on twelve stock assessments
inferredcites →https://doi.org/10.1016/j.icesjms.2003.12.001openalex-snapshot
Time-series analysis of abundance indices of young fish
inferredcites →https://doi.org/10.1017/cbo9781107049994openalex-snapshot
Forecasting, Structural Time Series Models and the Kalman Filter
inferredcites →https://doi.org/10.1080/10641260903294647openalex-snapshot
Incorporating Time-Varying Catchability into Population Dynamic Stock Assessment Models
inferredcites →https://doi.org/10.1080/19425120.2011.611005openalex-snapshot
A Simulation-Based Method to Determine Model Misspecification: Examples Using Natural Mortality and Population Dynamics Models
inferredcites →https://doi.org/10.1093/biomet/73.2.467openalex-snapshot
Prediction mean squared error for state space models with estimated parameters
inferredcites →https://doi.org/10.1093/oso/9780195076318.001.0001openalex-snapshot
Quantitative Fish Dynamics
inferredcites →https://doi.org/10.1111/j.1467-2979.2007.00258.xopenalex-snapshot
What makes fisheries data informative?
inferredcites →https://doi.org/10.1139/f05-116openalex-snapshot
State-space likelihoods for nonlinear fisheries time-series
inferredcites →https://doi.org/10.1139/f06-178openalex-snapshot
Variance estimation in integrated assessment models and its importance for hypothesis testing
inferredcites →https://doi.org/10.1139/f07-074openalex-snapshot
Estimation of the parameters of fish stock dynamics from catch-at-age data and indices of abundance: can natural and fishing mortality be separated?
inferredcites →https://doi.org/10.1139/f85-104openalex-snapshot
Catch-Age Analysis with Auxiliary Information
inferredcites →https://doi.org/10.1139/f94-168openalex-snapshot
A General Framework for Developing Sequential Fisheries Models
inferredcites →https://doi.org/10.1198/016214504000000476openalex-snapshot
Monte Carlo State-Space Likelihoods by Weighted Posterior Kernel Density Estimation
inferredcites →https://doi.org/10.2307/2336224openalex-snapshot
Prediction Mean Squared Error for State Space Models with Estimated Parameters
inferredcites →https://doi.org/10.2307/2583225openalex-snapshot
Forecasting, Structural Time Series Models and the Kalman Filter
inferredcites →https://doi.org/10.2307/2986116openalex-snapshot
Time Series Analysis of Catch-At-Age Observations
inferredcites →https://doi.org/10.2960/j.v9.a5openalex-snapshot
Icelandic Groundfish Survey Data Used to Improve Precision in Stock Assessments
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Robust state space models for estimating fish stock maturities
inferred← citeshttps://doi.org/10.1016/b978-0-444-62710-0.00014-6openalex-snapshot
Dynamics, Assessment, and Management of Exploited Natural Scallop Populations
inferred← citeshttps://doi.org/10.1016/j.fishres.2013.06.003openalex-snapshot
Model selection for selectivity in fisheries stock assessments
inferred← citeshttps://doi.org/10.1016/j.fishres.2013.11.001openalex-snapshot
Towards defining good practices for modeling time-varying selectivity
inferred← citeshttps://doi.org/10.1016/j.fishres.2014.01.014openalex-snapshot
Estimation of time-varying selectivity in stock assessments using state-space models
inferred← citeshttps://doi.org/10.1016/j.fishres.2017.05.015openalex-snapshot
How catch underreporting can bias stock assessment of and advice for northwest Atlantic mackerel and a possible resolution using censored catch
inferred← citeshttps://doi.org/10.1016/j.fishres.2018.02.005openalex-snapshot
Perspective: Let’s simplify stock assessment by replacing tuning algorithms with statistics
inferred← citeshttps://doi.org/10.1016/j.fishres.2018.12.014openalex-snapshot
Modeling temporal variation in recruitment in fisheries stock assessment: A review of theory and practice
inferred← citeshttps://doi.org/10.1016/j.fishres.2021.105873openalex-snapshot
Implementing two-dimensional autocorrelation in either survival or natural mortality improves a state-space assessment model for Southern New England-Mid Atlantic yellowtail flounder
inferred← citeshttps://doi.org/10.1016/j.fishres.2021.105927openalex-snapshot
Modeling time-varying selectivity in size-structured assessment models
inferred← citeshttps://doi.org/10.1016/j.fishres.2021.105967openalex-snapshot
The Woods Hole Assessment Model (WHAM): A general state-space assessment framework that incorporates time- and age-varying processes via random effects and links to environmental covariates
inferred← citeshttps://doi.org/10.1016/j.fishres.2022.106489openalex-snapshot
A review of estimation methods for natural mortality and their performance in the context of fishery stock assessment
inferred← citeshttps://doi.org/10.1016/j.fishres.2024.106968openalex-snapshot
An evaluation of common stock assessment diagnostic tools for choosing among state-space models with multiple random effects processes
inferred← citeshttps://doi.org/10.1016/j.fishres.2024.107174openalex-snapshot
Time varying M with starvation mortality in a state-space stock assessment model: Part 2: Atlantic cod (Gadus morhua) on the southern Grand Bank of Newfoundland
inferred← citeshttps://doi.org/10.1093/icesjms/fst211openalex-snapshot
Random effect estimation of time-varying factors in Stock Synthesis
inferred← citeshttps://doi.org/10.1093/icesjms/fsu213openalex-snapshot
Mixed effects: a unifying framework for statistical modelling in fisheries biology
inferred← citeshttps://doi.org/10.1093/icesjms/fsy160openalex-snapshot
Detecting mortality variation to enhance forage fish population assessments
inferred← citeshttps://doi.org/10.1139/cjfas-2014-0543openalex-snapshot
Spatial delay-difference models for estimating spatiotemporal variation in juvenile production and population abundance
inferred← citeshttps://doi.org/10.1139/cjfas-2015-0047openalex-snapshot
A state-space stock assessment model for northern cod, including under-reported catches and variable natural mortality rates
inferred← citeshttps://doi.org/10.1139/cjfas-2023-0358openalex-snapshot
Enhancing data-limited assessments with random effects: a case study on Korea chub mackerel (Scomber japonicus)
inferred← citeshttps://doi.org/10.1139/cjfas-2025-0092openalex-snapshot
Random effects on numbers-at-age transitions implicitly account for movement dynamics and improve stock assessment and management
inferred← citeshttps://doi.org/10.1146/annurev-statistics-031017-100427openalex-snapshot
Review of State-Space Models for Fisheries Science
inferred← citeshttps://doi.org/10.1371/journal.pone.0222472openalex-snapshot
Assessment modelling approaches for stocks with spawning components, seasonal and spatial dynamics, and limited resources for data collection
inferred← citeshttps://doi.org/10.15853/2072-8212.2024.75.53-66openalex-snapshot
Using the state-space separable cohort model modification for assessment of Pacific cod Gadus macrocephalus (Gadidae) stocks in the Petropavlovsk-Komandorskaya subzone
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A Bayesian approach to identifying and compensating for model misspecification in population models
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On application of Kalman filters in cohort models
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