Likelihood profiling of differently weighted models Doug Kinzey, George M.Watters, and Christian S. Reiss NOAA SWFSC Antarctic Ecosystem Research Division.

Slides:



Advertisements
Similar presentations
W E S T V I R G I N I A 2012 School Health Profiles Report Weighted Lead Health Education Teacher Survey Results.
Advertisements

W E S T V I R G I N I A 2012 School Health Profiles Report Weighted Lead Physical Education Teacher Survey Results.
W E S T V I R G I N I A 2012 School Health Profiles Report Weighted Principal Survey Results.
An Alternative Sardine Recruit Movement Model
Sardine Two-Stock Hypothesis: Results at the Posterior Mode SPSWG Meeting 28 th August 2013 Carryn de Moor Doug Butterworth Marine Resource Assessment.
Location Forum 2006, 7 November, 2006 School of Surveying & Spatial Information Systems The University of New South Wales, Australia Adaptive Kalman Filtering.
T E N N E S S E E 2012 School Health Profiles Report Weighted Lead Health Education Teacher Survey Results.
N E B R A S K A 2012 School Health Profiles Report Weighted Lead Health Education Teacher Survey Results.
N E B R A S K A 2010 School Health Profiles Report Weighted Lead Health Education Teacher Survey Results.
An exploration of alternative methods to deal with time-varying selectivity in the stock assessment of YFT in the eastern Pacific Ocean CAPAM – Selectivity.
Danmarks Fiskeriundersøgelser Afdeling for Havfiskeri FishFrame. International web based data warehouse for supporting the assessment process.
Science Behind Sustainable Seafood Age Matters! Alaska Fisheries Science Center.
Modeling fisheries and stocks spatially for Pacific Northwest Chinook salmon Rishi Sharma, CRITFC Henry Yuen, USFWS Mark Maunder, IATTC.
DEEPFISHMAN Stakeholder workshop Brussels, June 2009 DEEPFISHMAN Stakeholder worskshop Brussels June 2009 Data availability.
An Overview of the Key Issues to be Discussed Relating to South African Sardine MARAM International Stock Assessment Workshop 1 st December 2014 Carryn.
Growth in Age-Structured Stock Assessment Models R.I.C. Chris Francis CAPAM Growth Workshop, La Jolla, November 3-7, 2014.
C3: Estimation of size-transition matrices with and without molt probability for Alaska golden king crab using tag–recapture data M.S.M. Siddeek, J. Zheng,
AIGKC Model North Pacific Fishery Management Council Crab Modeling Workshop Report.
Black Sea Bass – Northern Stock Coastal-Pelagic/ASMFC Working Group Review June 15, 2010.
The current status of fisheries stock assessment Mark Maunder Inter-American Tropical Tuna Commission (IATTC) Center for the Advancement of Population.
M I N N E S O T A 2012 School Health Profiles Report Weighted Principal Survey Results.
DEEPFISHMAN Stock assessment (WP 4) and Biological Reference Points (WP 5) Phil Large.
Case Study - Dover Sole Range from Baja California to the Bering Sea. On mud or muddy-sand, at 35 to 1400 m depths. Feed on polychaete worms, shrimp, brittle.
Hui-Hua Lee 1, Kevin R. Piner 1, Mark N. Maunder 2 Evaluation of traditional versus conditional fitting of von Bertalanffy growth functions 1 NOAA Fisheries,
Age-structured assessment of three Aleutian fish stocks with predator-prey interactions Doug Kinzey School of Aquatic and Fishery Sciences University of.
How many conditional age-at-length data are needed to estimate growth in stock assessment models? Xi He, John C. Field, Donald E. Pearson, and Lyndsey.
W Y O M I N G 2014 School Health Profiles Report Weighted Lead Health Education Teacher Survey Results.
Time-Varying vs. Non-Time- Varying Growth in the Gulf of Mexico King Mackerel Stock Assessment: a Case Study Southeast Fisheries Science Center Jeff Isely,
W Y O M I N G 2014 School Health Profiles Report Weighted Principal Survey Results.
Developing a statistical-multispecies framework for a predator-prey system in the eastern Bering Sea: Jesús Jurado-Molina University of Washington Jim.
Richard Methot NOAA Fisheries Service Seattle, WA
Maximum likelihood estimates of North Pacific albacore tuna ( Thunnus alalunga ) von Bertalanffy growth parameters using conditional-age-at-length data.
Evaluation of a management measure restricting catch below 60cm Mark N. Maunder and Patrick Tomlinson.
S U B U R B A N C O O K C O U N T Y 2012 School Health Profiles Report Weighted Principal Survey Results.
A retrospective investigation of selectivity for Pacific halibut CAPAM Selectivity workshop 14 March, 2013 Ian Stewart & Steve Martell.
. Assessment of the Icelandic cod stock Björn Ævarr Steinarsson Marine Research Institute.
The Stock Synthesis Approach Based on many of the ideas proposed in Fournier and Archibald (1982), Methot developed a stock assessment approach and computer.
Workshop on Stock Assessment Methods 7-11 November IATTC, La Jolla, CA, USA.
USING INDICATORS OF STOCK STATUS WHEN TRADITIONAL REFERENCE POINTS ARE NOT AVAILABLE: EVALUATION AND APPLICATION TO SKIPJACK TUNA IN THE EASTERN PACIFIC.
The chi-squared statistic  2 N Measures “goodness of fit” Used for model fitting and hypothesis testing e.g. fitting a function C(p 1,p 2,...p M ; x)
Marine Recreational Information Program Update April 13, 2011.
M.S.M. Siddeeka*, J. Zhenga, A.E. Puntb, and D. Pengillya
U.S. Department of Commerce | National Oceanic and Atmospheric Administration | NOAA Fisheries | Page 1 Model Misspecification and Diagnostics and the.
Extending length-based models for data-limited fisheries into a state-space framework Merrill B. Rudd* and James T. Thorson *PhD Student, School of Aquatic.
SEDAR 42: US Gulf of Mexico Red grouper assessment Review Workshop Introduction SEFSC July , 2015.
The Influence of Spatial Dynamics on Predation Mortality of Bering Sea Walleye Pollock Pat Livingston, Paul Spencer, Troy Buckley, Angie Greig, and Doug.
Before Data Weighting: An ensemble model approach to fishery management advice CAPAM Workshop on Data-Weighting October 2015 Richard D. Methot NOAA Fisheries.
PQRI PSD Profile Comparison Working Group: Draft Simulation Results on Stability of the Chi-Square Ratio Statistic Under the Null Case of Identical Sets.
Using distributions of likelihoods to diagnose parameter misspecification of integrated stock assessment models Jiangfeng Zhu * Shanghai Ocean University,
CAN DIAGNOSTIC TESTS HELP IDENTIFY WHAT MODEL STRUCTURE IS MISSPECIFIED? Felipe Carvalho 1, Mark N. Maunder 2,3, Yi-Jay Chang 1, Kevin R. Piner 4, Andre.
Selectivity and two biomass measures in an age-based assessment of Antarctic krill Doug Kinzey, George Watters NOAA/NMFS/SWFSC/AERD CAPAM Workshop, March.
MSE Performance Metrics, Tentative Results and Summary Joint Technical Committee Northwest Fisheries Science Center, NOAA Pacific Biological Station, DFO.
Yellowfin Tuna Major Changes Catch, effort, and length-frequency data for the surface fisheries have been updated to include new data for 2005.
Empirical comparison of historical data and age- structured assessment models for Prince William Sound and Sitka Sound Pacific herring Peter-John F. Hulson,
Are single species (SS) and ecosystem models (EM) being compared/complementary in each center? If so, how? NEMoW II.
Data weighting and data conflicts in fishery stock assessments Chris Francis Wellington, New Zealand CAPAM workshop, “ Data conflict and weighting, likelihood.
Influence of selectivity and size composition misfit on the scaling of population estimates and possible solutions: an example with north Pacific albacore.
Estimating Uncertainty. Estimating Uncertainty in ADMB Model parameters and derived quantities Normal approximation Profile likelihood Bayesian MCMC Bootstrap.
I N D I A N A 2014 School Health Profiles Report Weighted Lead Health Education Teacher Survey Results.
I N D I A N A 2014 School Health Profiles Report Weighted Principal Survey Results.
Population Dynamics and Stock Assessment of Red King Crab in Bristol Bay, Alaska Jie Zheng Alaska Department of Fish and Game Juneau, Alaska, USA.
Survey Data Conflicts and Bias and Temporal Variation of Model Parameters of St. Matthew Island Blue King Crab J. Zheng, D. Pengilly and V. A. Vanek ADF&G,
Fish stock assessment Prof. Dr. Sahar Mehanna National Institute of Oceanography and Fisheries Fish population Dynamics Lab November,
MARAM International Stock Assessment Workshop
Pacific-Wide Assessment of Bigeye Tuna
Sardine Two-Stock Hypothesis: Results at the Posterior Mode
MARAM/IWS/2017/Sardine/P8
The SCAA Assessment of SA hake Rebecca Rademeyer and Doug Butterworth
Effects of Catch-at-Age Sample Size on Gulf of Mexico Gray Triggerfish Spawning Stock Biomass Estimates Jeff Isely SEFSC Miami.
Pribilof Island red king crab
Presentation transcript:

Likelihood profiling of differently weighted models Doug Kinzey, George M.Watters, and Christian S. Reiss NOAA SWFSC Antarctic Ecosystem Research Division CAPAM Data Weighting Workshop, November 2015

The base model for Antarctic krill uses 7 sources of data

Survey length-compositions for recruitment and growth estimation

Fishery length-compositions, not so much

Fishery catches (CV = 0.5)

MCMC samples for recruitment and spawning biomass ( )

Likelihood profile on R 0

Seven alternative configurations Increase weighting on fishery length-compositions X10 (number of hauls X 10) Increase weighting on fishery length-compositions X20 (number of hauls X 20) Decrease weighting on fishery catches X2 (CV= 1.0) Decrease weighting on fishery catches X4 (CV= 2.0) No fishery length-compositions No survey compositions, increase fishery length-composition weighting X10 (number of hauls X 10) No survey compositions, increase fishery length-composition weighting X20 (number of hauls X 20)

Increase weighting on fishery compositions X10

Increase weighting on fishery compositions X20

Decrease weighting on fishery catches X2 (CV = 1.0)

Decrease weighting on fishery catches X4 (CV = 2.0)

No fishery compositions ( )

No survey compositions, increase fishery composition weighting X10

No survey compositions, increase fishery composition weighting X20

Summary Likelihood profiling can augment other model diagnostics by showing the effects of different data sources relative to one another on the parameters estimated in an integrated model. The effect of different data sources on the parameter estimates depend on what other data sources are fitted by the model and how they are weighted. Data weighting using the same time-series observations in the krill model can effect the estimates of a scaling parameter such as R 0 by over an order of magnitude.

Three stages of the krill model username: anonymous password: anonymous change current folder name from: /users/anonymous/ to /users/dkinzey/public Model code, executable, and data: wg_SAM_14_20 FishRes_15 wg_EMM_15_51