Vinay Kashyap

CHASC: Jeff Scargle on Double Periodograms

CHASC : Josh Ingram on solar flare occurrences

CHASC: Matteo Guardiani on Bayesian Source Separation

CHASC : Adithya H.N. on Problems in Detectability: Flare Precursors and Bright Points

CHASC : Colin Burke on Black Hole Occupancy Fractions

CHASC: Aritra Banerjee on Signal Detection Under Unknown Background

CHASC : Philip Frank on (geo)Metric Variational Inference for large-scale astronomical data analysis

CHASC : Yixin Wang on Geometric Signatures in Causal Representation Learning

David van Dyk: Lecture on Bayesian Methods in Astronomy at CfA [Part III]

David van Dyk : Lecture on Bayesian Methods in Astronomy at CfA [Part II]

David van Dyk : Lecture on Bayesian Methods in Astronomy at CfA [Part I]

CHASC : Siyang Li on MGF methods to estimate X-ray luminosity functions

2025-jan-22 CHASC : Mehdy Lefkir on AGN X-ray power spectra

CHASC : Herman Marshall on extragalactic neutrinos

CHASC : Robert Zimmerman on HMM modeling of X-ray light curves

CHASC : Justina Yang on Emulating Photon Pile-up Effects on X-ray Spectra with a Neural Network

CHASC : Christina Reissel on Machine Learning for Real-Time Analysis of Gravitational Wave Data

CHASC : Ann Lee (CMU) on Valid Scientific Inference with Neural Density Estimators

CHASC : Yanke Song on Poisson Autodecoder

CHASC 2024 Sep 4 : Hyungsuk Tak : Six Maxims of Statistical Acumen for Astronomical Data Analysis

CHASC : Giovanni Motta on Detecting stellar flares using conditional volatility

CHASC : Siddharth Vishwanath on Repelling-Attracting HMC

CHASC: Siyang Li on Luminosity Functions with Dark sources

CHASC : Souhardya Sengupta on Causal Inference

CHASC : Cstat-a-palooza (Yang Chen and Max Bonamente)

Poisson Processes and Upper Limits

CHASC : Xiangyu Zhang (Minnesota) on Smooth Tests for GoF

CHASC : Axel Donath on JoLiDeco

CHASC: Ana-Sofia Uszoy

CHASC: Adel Daoud