Leiv Rønneberg
@ltronneberg.bsky.social
590 followers 550 following 31 posts
Postdoctoral fellow @ University of Oslo (back home in 🏔️🇳🇴🏔️), Bayesian stats (high-dimensional, nonparametric, ML), biostatistics, computation. Previously @ MRC Biostatistics Unit, University of Cambridge 🇬🇧
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Reposted by Leiv Rønneberg
hpesonen.bsky.social
I'm looking for a Doctoral Researcher (PhD student) to work with me on simulation-based inference at Data Science Research Centre, Tampere University Check the link for details and send an application before October 10th.

tuni.rekrytointi.com/paikat/?o=A_...
Doctoral Researcher (simulation-based inference) / Väitöskirjatutkija (simulaatio-pohjainen päättely)
tuni.rekrytointi.com
ltronneberg.bsky.social
Playing around plotting some chemical structure embeddings coming from a VAE, and colouring by local intrinsic dimension looks almost like these colour blind test images.
ltronneberg.bsky.social
«– Når det ikkje er nokon risiko for å bli avslørt, og inga form for straff for å lyge, ventar vi frå standard økonomisk teori at alle skulle ha loge, seier Bjorvatn.»

Økonom overrasket at folk flest ikke tenker som økonomer
Éin av fire er villig til å lyge for ein tusenlapp
­
www.nrk.no
Reposted by Leiv Rønneberg
valeriavitelli.bsky.social
JOBS ALERT! PhD position & 3-y postdoc position in statistics within my research group at @ocbe.bsky.social @uio.no
Both are linked to a project funded from the Research Council of Norway on Integrative Bayesian clustering for high-dim data in omics

Deadline: 13 June 2025

More info & links below!
ltronneberg.bsky.social
Glad to see this happening! I never understood why UK dads were not marching in the street already when I saw that my UK employer only offered *two weeks* paternity leave. Coming from Norway I had to trade in a minimum 4 months leave for a measly two weeks -- time with my daughter I won't get back.
British men urged to join ‘Dad strike’ calling for more paternity leave
Exclusive: Fathers planning protest with babies in London on 11 June to highlight UK’s ‘rubbish’ statutory leave, least generous in Europe
www.theguardian.com
ltronneberg.bsky.social
I’d also be interested in this, Martin. How it is structured, what is covered, what the pre-requisites are etc
ltronneberg.bsky.social
I think that could indeed be quite illuminating. Often we approach these topics trying to make them practical without requiring too much mathematical setup. You don’t *need* stochastic process theory to get at the core of GP regression, but you might need it to understand the finer details later on
ltronneberg.bsky.social
Interesting post! I helped run a similar module in Cambridge last year were we tried to cram in too much, covering basics of GPs *and* DPs. If the emphasis is on BNP I think one must mention DPs at some point, though it is a step up in abstraction compared to GPs. «distribution of distributions» etc
ltronneberg.bsky.social
It can be bounded from below and above, by \sqrt{n} and n, respectively. These cases each reflect say an extreme lengthscale, ell=\infty or ell=0, and so it appears almost like a measure of complexity. I'm struggling to come up with an intuitive explanation.

Does anyone have any ideas/references?
ltronneberg.bsky.social
Working on a model involving some GP regression, coupled with a horseshoe prior for variable selection. In an attempt at counting the number of effective parameters of my model, the following quantity pops out quite naturally. Is this a well known quantity? 1/2
Here, in the context of GP regression, K refers to the n x n Gram matrix associated with a set of inputs and a covariance function, while lambda_j refers to the eigenvalues of K.
ltronneberg.bsky.social
Maybe I'll add that the call is very general across "computational science", encompassing biology, chemistry, physics etc. alongside maths & stats. Bayesian machine learning is just one of the projects within our department, see the link below
www.uio.no/dscience/eng...
Mathematics & Statistics - dScience – Centre for Computational and Data Science
Read this story on the University of Oslo's website.
www.uio.no
ltronneberg.bsky.social
Second call for the DSTrain Postdoctoral programme @uio.no is up! The university is hiring 18 postdocs across 9 research areas and over 60 loosely defined projects.

Come work on Bayesian machine learning with us in beautiful Oslo

Deadline April 6th, please share!
DSTrain - dScience – Centre for Computational and Data Science
DSTrain is a 5-year postdoctoral programme that will award 36 postdoctoral fellowship positions of 36 months each in two calls over the programme period within the overarching frame of data science. T...
www.uio.no
ltronneberg.bsky.social
Are you assuming you are able to compute the derivatives as well, or simply that you know they are non-negative?
ltronneberg.bsky.social
Klassisk økonomfjas. Det er ikke modellene våre eller måleinstrumentene det er noe galt med — folk lider av «fantomfattigdom» borsen.dagbladet.no/nyheter/nord...
ltronneberg.bsky.social
Great department, great group, great city!
jmgran.bsky.social
Want to do a postdoc in Oslo? We're seeking candidates for a four year postdoc position in causal inference/time-to-event analysis.

Application deadline is January 31. See below for more information and feel free to take contact if you have any questions! www.jobbnorge.no/en/available...
Four year postdoc position at the Oslo Centre for Biostatistics and Epidemiology (OCBE) (272144) | University of Oslo
Job title: Four year postdoc position at the Oslo Centre for Biostatistics and Epidemiology (OCBE) (272144), Employer: University of Oslo, Deadline: Friday, January 31, 2025
www.jobbnorge.no
Reposted by Leiv Rønneberg
litterat.party
Are @litterat.party · Dec 17
Tvert i mot, dette er på alle måter et skattemessig smutthull. Det er faktisk nøyaktig hva det er: Noe som teknisk sett ikke er ulovlig, men åpenbart heller ikke i tråd med intensjonen. Intensjonen er neppe at eiendomsbaroner skal få skattefritak.
Engebretsen viser til at Skatteetaten fleire gonger har fått spørsmål om burettslagsmodellen er lovleg, noko dei har stadfesta at han er.

– Dette er ikkje noko skattemessig smotthol på noko som helst måte, sier han.
ltronneberg.bsky.social
Overbygningen er vel laget av stål..?
ltronneberg.bsky.social
It's quite ironic that the term was first coined in a sociological essay warning *against* meritocracy, rather than lifting it up as an ideal.
The Rise of the Meritocracy - Wikipedia
en.wikipedia.org
ltronneberg.bsky.social
Always fun little tidbits on the wikis of famous mathematicians. Here on Riesz Frigyes' (*of the* Riesz representation theorem) lecturing style
ltronneberg.bsky.social
Yeah, I think for most applications something like a GAM or a GP would be the practical choice compared to a BNN. I'm wondering if the number of layers/parameters needed to get something truly more flexible is just too large to work with
ltronneberg.bsky.social
Hmm, from an initial check __not really__. I initially only fit a single chain, so figured maybe I was exploring a single mode, but when I reran the model with 4 chains I still don't really see much multimodality. Maybe n is so small that the prior dominates?
Posterior samples from weight matrix of the middle layer
Reposted by Leiv Rønneberg
ltronneberg.bsky.social
Also, in terms of the sampler complaining, Rhat and effective sample size is awful for most of the parameters (weights), but for the estimated function itself at the input locations it is generally Rhat < 1.02 and n_eff > 300 from 1000 samples. Nice to see these effects myself
ltronneberg.bsky.social
This is a fairly small BNN, "only" ~8k parameters. But given my 100 datapoints, I'm a little surprised that Stan is so efficient. Also a bit disappointed in how smooth the functions look (when sampling from prior), a GP would make quick work of this, even in a full Bayesian treatment.