Diana Cole

[Stats Ecology @ Kent @UniKentSEaK]

Milly gave a talk on Line Transect data in Occupancy Studies: data collection methods and model identifiability at #ISEC2024

[Diana Cole @DinCole2017]

Eleni gave a talk on Hidden Markov models with an unknown number of states and a repulsive prior on the state parameters at #ISEC2024

[Stats Ecology @ Kent @UniKentSEaK]

Diana gave a talk on Bayesian Identifiability in Ecological Models at #ISEC2024

[Stats Ecology @ Kent @UniKentSEaK]

Lena presented a talk on Clustering in an Agent Based Models at #ISEC2024

[Stats Ecology @ Kent @UniKentSEaK]

Lucy presented her work on a Capture-Recapture-Recovery Model with Temporary Emigration for Estimating Population Size from Incomplete Registers at #ISEC2024

[Stats Ecology @ Kent @UniKentSEaK]

At #ISEC2024 Tommy presented a poster on a general framework for designing randomised response models in conservation.

[Istvan Kiss @istvanzkiss]

Not one but two PhDs to work with me, at
@NortheasternLDN and co-supervisors from
@UniKentmaths, @DinCole2017
& A. Hone, and from @NUnetsi,
@svscarpino. If inference of epidemics (https://t.co/gdyTxviQva) or temporal networks (https://t.co/UQnbKwFD6m) are your thing then apply.

[National Centre for Statistical Ecology @NCSE_UK]

Congratulations to @dpdgrainger1 for best student presentation at the #NCSE2023 meeting; and Millie Jones for runner-up. Llongyfarchiadau!!!!

[National Centre for Statistical Ecology @NCSE_UK]

Following the obligatory coffee break - back in to the next #NCSE2023 interesting session starting with Millie Jones using a distance sampling hierarchical multi-species model.

[Luca Borger @lucaborger]

We start with the first #NCSE2023 talk by Diana Cole on 'Bayesian Identifiability in Ecological Models'.

[National Centre for Statistical Ecology @NCSE_UK]

The #ncse2023 summer meeting kicks off with Diana from @UniKentSEaK talking about Bayesian identifiability

[Arthur Henrique Bossi @ahbossi]

Conventional methods to prescribe exercise intensity are ineffective for exhaustive interval training (accepted in EJAP) - @DinCole2017 @trainalytics @JamesHopker

https://t.co/JtccrjdRHM

[Marie Auger-Méthé @AugerMethe]

@UBCoceans And to my many awesome co-authors: @RowennaGryba @len_thom @JoannaMFlemming @vianey_lb @DinCole2017 @EmpacherFa , Ken Newman, Anders Nielsen, Aaron King, and Giovanni Petris

[UBC Oceans (also found at ubcoceans.bsky.social) @UBCoceans]

Congratulations to Marie @AugerMethe whose article "A guide to state-space modeling of ecological time series" in #EcologicalMonographs was a Top Cited article of 2021/22
https://t.co/nEdr95aBuK

[Arthur Henrique Bossi @ahbossi]

@trainalytics, this acceptance is for you. I'm so, so pleased! Many thanks for your guidance over the years, I feel honoured to have had the opportunity to choose you as one of my supervisors. We'll miss you! Also, thanks @JamesHopker and @DinCole2017 for your hard work on this!

[Emily Dennis @EmilyBDennis]

📢 Exciting fully-funded #PhD opportunity in #statistics and #ecology: modelling citizen science data for butterflies and moths with @UniKentSEaK and @savebutterflies. Applications are open until 20th February 2023 🦋 https://t.co/ZQIyY7wVr4

[Alex Browning @a13xbrowning]

Our new preprint with @chris_drovandi, @adrianne_jenner @ProfMJSimpson and Ian Turner looking at efficient inference and identifiability analysis for models that incorporate biological variability through random parameters now up on #arxiv https://t.co/LzYbM3dX6X @QUTDataScience

[Stats Ecology @ Kent @UniKentSEaK]

Think Piece on "Understanding ecosystems and resilience using DNA" with Eleni as co-author published on https://t.co/WVvWEICHQq.
https://t.co/ETvMYhYVlL

[Len Thomas @len_thom]

Hopefully a really useful paper for those interested in state-space models in ecology. Loads of useful code etc in Supplementary Materials. Congrats to @AugerMethe and thanks to @CMO_oaxaca for hosting the workshop that led to the paper, and @BIRS_Math for sponsoring.

[Marie Auger-Méthé @AugerMethe]

Look at our new guide to state-space models in @ESAMonographs! We hope it helps a broad range of ecologists use these models with their time-series data! Check out the associated R tutorial! Thanks @CMO_oaxaca and @BIRS_Math for hosting the workshop that sparked the idea!