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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

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