Exploring the versatility of the normal distribution in professional and academic research
Pacielli, Gabriele (A.A. 2023/2024) Exploring the versatility of the normal distribution in professional and academic research. Tesi di Laurea in Advanced coding for data analytics, Luiss Guido Carli, relatore Alessio Martino, pp. 31. [Bachelor's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
The normal distribution, a statistical perspective. Introduction to the normal distribution. Mathematical foundations. Standard normal random variable. Central limit theorem. Application in finance. An efficient example. Main assumptions. Deviations from normality. Predicting returns using normal distribution. Markovitz portfolio optimization model. Applications in medicine. Applications and implications of normal distribution in the study of CACs: insights from a Hasman et al. (2000). Application in machine learning, supervised and unsupervised learning. Linear regression. Gaussian mixture model. Supporting vector machines.
References
Bibliografia: p. 31.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Advanced coding for data analytics |
| Thesis Supervisor: | Martino, Alessio |
| Academic Year: | 2023/2024 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 17 Dec 2024 10:33 |
| Last Modified: | 17 Dec 2024 10:33 |
| URI: | https://tesi.luiss.it/id/eprint/40648 |
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