Items where Division is "Mathematics and Statistics" and Year is 2025

Aghababaeyan, Nahid (2025) Towards Reliable Image Classification: A Systematic Robustness Analysis of CNN and Classical Models Under Natural Corruptions. Masters thesis, Concordia University.

Amoa-Dadzeasah, Mavis (2025) Comparison of Semi-parametric and Parametric Maximum Likelihood Estimators under Random Censoring. Masters thesis, Concordia University.

Basu, Debopriya (2025) A Distance-Based Approach to Independent Component Analysis. PhD thesis, Concordia University.

Campanella, Alessandro (2025) Entanglements of Galois Representations for Elliptic Curves over Q: Foundations and Future Directions. Masters thesis, Concordia University.

Fassler, Daniel ORCID: https://orcid.org/0009-0007-0785-9108 (2025) Finite-data Error Bounds for Approximating the Koopman Operator. Masters thesis, Concordia University.

Forgetta, Anthony ORCID: https://orcid.org/0009-0002-0253-7138 (2025) Finding Balance: Energy, Wealth, and Health. PhD thesis, Concordia University.

Glickman, Paul (2025) When Noise Helps: From Impossibility to Approximate Impossibility in Identity Effects for Deep Learning. Masters thesis, Concordia University.

Guo, Yiming (2025) A Machine Learning Model for Predicting the SOFR Term-structure. Masters thesis, Concordia University.

Houde, Félix (2025) Actions localement analytiques et application aux représentations associées à des formes surconvergentes. Masters thesis, Concordia University.

Ishkhanian, Serly (2025) Disentangling the AI Black-Box Model: From Direct to Indirect Influence. Masters thesis, Concordia University.

Metry, Nikol (2025) The Zeros of Dirichlet Series of Cubic Gauss Sums over Function Fields. Masters thesis, Concordia University.

Mohammad-Taheri, Sina (2025) Greedy sparse recovery algorithms: from weighted generalizations to deep unrolling. PhD thesis, Concordia University.

Nonez, Fabrice (2025) Spectral embeddings through nonstandard samplings. PhD thesis, Concordia University.

Padmanabhan, Rahul (2025) Deep Learning Approximation of Matrix Functions: From Feedforward Neural Networks to Transformers. Masters thesis, Concordia University.

Perez Mendoza, Carlos Octavio ORCID: https://orcid.org/0009-0004-1133-795X (2025) Enhancing Hedging Strategies with Deep Reinforcement Learning and Implied Volatility Surfaces. PhD thesis, Concordia University.

Roustaei, Javad (2025) Narrative Signals from Bank Filings as Early-Warning Indicators: Unsupervised NLP with Regime-Switching Models. Masters thesis, Concordia University.

Ruan, Bocheng (2025) Stability of Localized Solutions to Lattice Dynamical Systems. Masters thesis, Concordia University.

Sen, Abhirupa (2025) Hybrid Model for Claim Frequency and Claim Severity. Masters thesis, Concordia University.

Shaabani, Shahaboddin (2025) Some Results in the Theory of Real Hardy Spaces and BMO. PhD thesis, Concordia University.

Toharia, David (2025) Curve Shortening Flow of Closed Curves in the Plane and on Curved Surfaces. Masters thesis, Concordia University.

Weinzierl, Michael (2025) Etale Cohomology and the Galois Representation attached to a Modular Form. Masters thesis, Concordia University.

Zuccon, Francesco Alessio (2025) Generalized Hilbert's Tenth Problem. Masters thesis, Concordia University.