Eduardo Altmann
@eduardoaltmann.aus.social.ap.brid.gy
Dynamics and Complex Systems. Professor at The University of Sydney, School of Maths and Stats.
[bridged from https://aus.social/@EduardoAltmann on the fediverse by https://fed.brid.gy/ ]
[bridged from https://aus.social/@EduardoAltmann on the fediverse by https://fed.brid.gy/ ]
Chapter 4 concludes the book with a general evaluation of the potential and limitations of statistical laws: a critical discussion of the uses and misuses in complex-systems research, connections to machine-learning approaches to data science, and speculations about the future of the field.
December 18, 2024 at 12:46 AM
Chapter 4 concludes the book with a general evaluation of the potential and limitations of statistical laws: a critical discussion of the uses and misuses in complex-systems research, connections to machine-learning approaches to data science, and speculations about the future of the field.
Chapter 3 critically discusses the different statistical methods used to evaluate the validity and estimate the parameters of statistical laws: from graphical models and linear regression to likelihood-based models and statistical inference.
December 18, 2024 at 12:46 AM
Chapter 3 critically discusses the different statistical methods used to evaluate the validity and estimate the parameters of statistical laws: from graphical models and linear regression to likelihood-based models and statistical inference.
Chapter 2 describes several cases of statistical laws, with focus on the identical role they play in different research areas: as connectors between data analysis and mechanistic models.
December 18, 2024 at 12:46 AM
Chapter 2 describes several cases of statistical laws, with focus on the identical role they play in different research areas: as connectors between data analysis and mechanistic models.
Chapter 1 starts from an historical account of paradigmatic laws, which motivate a general definition that: (i) includes examples from different disciplines and functional forms; (ii) distinguishes them from parametric fitting of curves or other statistical curiosities.
December 18, 2024 at 12:46 AM
Chapter 1 starts from an historical account of paradigmatic laws, which motivate a general definition that: (i) includes examples from different disciplines and functional forms; (ii) distinguishes them from parametric fitting of curves or other statistical curiosities.