Statistics Journal Club

All masters students, PhD students, and employees are invited.
Meetings - every other week: time slot for 2022/2023 will be decided later
Organizer: Radek Poleski (email: rpoleski@...)

Planned meetings

See below for list of past meetings.
Date and speakerPaper/Topic
Oct 2022, ???

Available papers and topics - choose your favorite and let me know when you want to present.

Some of the papers are long, you may choose to present only part of the paper in such cases.

PaperTitle/topicNotes
Bryan et al. 2007"Mapping the Cosmological Confidence Ball Surface"
Importance samplingThe method is very important for speeding-up simulations. Description of the method can be found on-line, or in resources suggested by RP. It would be good to show simple working example.
Speagle 2019"A Conceptual Introduction to Markov Chain Monte Carlo Methods"Other concepts are also discussed: importance sampling, effective sample size, approximating posterior integrals with grids
Vitale 2020"One, No One, and One Hundred Thousand -- Inferring the properties of a population in presence of selection effects"Pedagogical introduction to hierarchical Bayesian inference in presence of selection effects; gravitational waves as an example
Hogg and Forman-Mackey 2017"Data analysis recipes: Using Markov chain Monte Carlo"Good MCMC introduction that has problems to be solved by the reader; discusses convergence, parametrizations etc.
LIGO and Virgo 2020"Population Properties of Compact Objects from the Second LIGO-Virgo Gravitational-Wave Transient Catalog"gravitational waves - statistical analysis of O3 run that considers a few different models
Student projectStudent can present what statistical analysis they work on, even if it's not finished. It's likely that other participants will give useful suggestions
Hsu, Ford, et al. 2018"Improving the Accuracy of Planet Occurrence Rates from Kepler Using Approximate Bayesian Computation"
Schwarzenberg-Czerny 1996"An astronomer's guide to period searching"short
probability distributions used for priorsdiscussion of different probability distributions that are used for priors: beta, Jeffreys, modified Jeffreys etc.
Scargle et al. 2013" Studies in Astronomical Time Series Analysis. VI. Bayesian Block Representations"completely new method
Zechmeister and Kurster 2009"The generalised Lomb-Scargle periodogram. A new formalism for the floating-mean and Keplerian periodograms"
Hogg, Bovy and Lang 2020"Data analysis recipes: Fitting a model to data"many probelms, e.g., removing outliers or 2D uncertainties; excersices for the reader
Curran 2014"Monte Carlo error analyses of Spearman's rank test"short one
Stobie, Ishida and Peacock 1989"Distance errors and the stellar luminosity function."
Koshimoto and Bennett 2020"Evidence of Systematic Errors in Spitzer Microlens Parallax Measurements"seems to use method similar to V/Vmax
Tsutomou et al. 2022NEW - "High Dimensional Statistical Analysis and its Application to ALMA Map of NGC 253"noise-reduction principal component analysis (NRPCA) and regularized principal component analysis (RPCA) used; suggested by Kasia Małek

Past meetings

Date and speakerPaper/TopicLinks
9.06.2022, M. KiragaSalvato et al. 2018 "Finding counterparts for all-sky X-ray surveys with NWAY: a Bayesian algorithm for cross-matching multiple catalogues"slides
19.05.2022, M. GromadzkiKuhn and Feigelson 2017 "Mixture Models in Astronomy"slides
5.05.2022, K. IłkiewiczFrancis and Wills 1999 "Introduction to Principal Components Analysis"slides
21.04.2022, M. BanUdalski et al. 2018 "OGLE-2017-BLG-1434Lb: Eighth q<1e-4 Mass-Ratio Microlens Planet Confirms Turnover in Planet Mass-Ratio Function"slides
31.03.2022, M. RatajczakSchwarzenberg-Czerny 1989 "On the advantage of using analysis of variance for period search."slides
17.03.2022, R. PoleskiForeman-Mackey, Hogg and Morton 2014 "Exoplanet Population Inference and the Abundance of Earth Analogs from Noisy, Incomplete Catalogs"slides
3.03.2022, P. MrózHogg, Myers, and Bovy 2010 "Inferring the Eccentricity Distribution"notes
11.01.2022, M. JabłońskaAndrae 2010 "Error estimation in astronomy: A guide"slides, github code
14.12.2021, P. SzewczykHogg 2008 "Data analysis recipes: Choosing the binning for a histogram"slides, code
30.11.2021, K. KruszyńskaBailer-Jones et al. 2021 " Estimating Distances from Parallaxes. V. Geometric and Photogeometric Distances to 1.47 Billion Stars in Gaia Early Data Release 3"slides
16.11.2021, J. SkowronIntroduction to MCMC - part 3
9.11.2021, J. SkowronIntroduction to MCMC - part 2
26.10.2021, J. SkowronIntroduction to MCMC - part 1
11.6.2021, D. SkowronVanderPlas and Ivezic 2015 "Periodograms for Multiband Astronomical Time Series"slides
21.5.2021, M. KiragaGould 2013 "The Most Precise Extra-Galactic Black-Hole Mass Measurement"slides
14.5.2021, J. SkowronUltraNest package - based on Buchner (2021) and Buchner (2021)slides
23.4.2021, Sz. KozłowskiQuasar variability based on 1, 2, 3, and 4slides
9.4.2021, K. Kruszyńska"Bayesian Approach for Determining Microlens System Properties with High-angular-resolution Follow-up Imaging" Koshimoto, Bennett, and Suzuki 2020slides
26.3.2021, R. Poleski"Quantifying the Bayesian Evidence for a Planet in Radial Velocity Data" Nelson et al. 2020slides
12.3.2021, M. Gromadzki"Astrophysical Sources of Statistical Uncertainty in Precision Radial Velocities and Their Approximations" Beatty and Gaudi 2015slides
14.1.2021, M. Ratajczak"The Joker: A Custom Monte Carlo Sampler for Binary-star and Exoplanet Radial Velocity Data" Price-Whelan et al. 2017slides
7.1.2021, P. Zieliński"Detecting extrasolar planets from stellar radial velocities using Bayesian evidence" Feroz et al. 2011slides
10.12.2020, R. Poleski"Multimodal nested sampling: an efficient and robust alternative to Markov Chain Monte Carlo methods for astronomical data analyses" Feroz and Hobson 2008slides, code, data
26.11.2020, Ł. Wyrzykowski"Dos and don'ts of reduced chi-squared" Andrae et al. 2010slides
19.11.2020, J. SkowronIntroduction to MCMCslides, more slides, code 1, code 2, data
29.10.2020, R. PoleskiBayes' theorem and related conceptsslides

Statistical topics that can be discussed:

In random order: