A Dirichlet process model for directional-linear data with application to bloodstain pattern analysis

Type: Publication Research Area(s): Bloodstain, Forensic Statistics

Published: 2024 | By: Tong Zou

Directional data require specialized models because of the non-Euclidean nature of their domain. When a directional variable is observed jointly …

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Towards a likelihood ratio approach for bloodstain pattern analysis

Type: Publication Research Area(s): Bloodstain, Forensic Statistics

Published: 2022 | By: Tong Zou

In this work, we explore the application of likelihood ratio as a forensic evidence assessment tool to evaluate the causal …

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A Data-Driven Approach to Model the Generation Process of Bloodstain Patterns

Type: Poster Research Area(s): Bloodstain

Published: 2022 | By: Tong Zou

This poster was presented at the 106th International Association for Identification

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Authors’ Response to Commentary on: Liu Y, Attinger D, De Brabanter K. Automatic classification of bloodstain patterns caused by gunshot and blunt impact at various distances

Type: Publication Research Area(s): Bloodstain

Published: 2020 | By: Daniel Attinger

The Commentary by A. Keten makes the case for considering evaporation and coagulation in research and applications of the forensic …

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Using the Likelihood Ratio in Bloodstain Pattern Analysis

Type: Publication Research Area(s): Bloodstain, Forensic Statistics

Published: 2021 | By: Daniel Attinger

There is an apparent paradox that the likelihood ratio (LR) approach is an appropriate measure of the weight of evidence …

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Bloodstain Pattern Analysis Black Box Study

Type: Webinar Research Area(s): Bloodstain, Training and Education

Published: | By:

This CSAFE webinar was held on October 14, 2021. Presenters: Austin Hicklin Noblis Forensic Science Group, Director Paul Kish Forensic …

Recognition of Overlapping Elliptical Objects in a Binary Image

Type: Publication Research Area(s): Bloodstain

Published: 2021 | By: Tong Zou

Recognition of overlapping objects is required in many applications in the field of computer vision. Examples include cell segmentation, bubble …

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CSAFE 2021 Field Update

Type: Webinar Research Area(s): Bloodstain, Digital, Firearms and Toolmarks, Footwear, Forensic Statistics, Handwriting, Implementation and Practice, Latent Print, Training and Education

Published: | By:

The 2021 Field Update was held June 14, 2021, and served as the closing to the first year of CSAFE …