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Vol. 15, No. 2, 2024
Contents
Preface: IMSI
“Apprenticeship Week” Projects
165
Serkan Hoşten, Kaie Kubjas and Bernd Sturmfels
Homaloidal polynomials and
Gaussian models of maximum likelihood degree 1
167–198
Shelby Cox, Pratik Misra and Pardis Semnani
Matroid stratification of
ML degrees of independence models
199–223
Oliver Clarke, Serkan Hoşten, Nataliia Kushnerchuk and
Janike Oldekop
Completions to discrete
probability distributions in log-linear models
225–247
May Cai, Cecilie Olesen Recke and Thomas Yahl
Degrees of the Wasserstein
distance to small toric models
249–267
Greg DePaul, Serkan Hoşten, Nilava Metya and Ikenna
Nometa
Mixtures of discrete
decomposable graphical models
269–293
Yulia Alexandr, Jane Ivy Coons and Nils Sturma
Geometry of polynomial
neural networks
295–328
Kaie Kubjas, Jiayi Li and Maximilian Wiesmann
Moment varieties from
inverse Gaussian and gamma distributions
329–355
Oskar Henriksson, Lisa Seccia and Teresa Yu
New directions in algebraic
statistics: Three challenges from 2023
357–382
Yulia Alexandr, Miles Bakenhus, Maize Curiel, Sameer K.
Deshpande, Elizabeth Gross, Yuqi Gu, Max Hill, Joseph
Johnson, Bryson Kagy, Vishesh Karwa, Jiayi Li, Hanbaek Lyu,
Sonja Petrović and Jose Israel Rodriguez