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Ommen, Danica M.
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1

A statistical approach to aid examiners in the forensic ana..:

Crawford, Amy M. ; Ommen, Danica M. ; Carriquiry, Alicia L.
Journal of Forensic Sciences.  68 (2023)  5 - p. 1768-1779 , 2023
Link: https://doi.org/10.1111/..
 
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2

Ensemble learning for score likelihood ratios under the com..:

Veneri, Federico ; Ommen, Danica M.
Statistical Analysis and Data Mining: The ASA Data Science Journal.  16 (2023)  6 - p. 528-546 , 2023
Link: https://doi.org/10.1002/..
 
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3

Differences between Bayes Factors and Likelihood Ratios for..:

, In: Statistics in the Public Interest; Springer Series in the Data Sciences,
Ommen, Danica M. ; Saunders, Christopher P. - p. 169-186 , 2022
Link: https://doi.org/10.1007/..
 
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4

Advances toward validating examiner writership opinion base..:

Ommen, Danica M. ; Fuglsby, Cami ; Caligiuri, Michael P.
Forensic Science International.  318 (2021)  - p. 110644 , 2021
Link: https://doi.org/10.1016/..
 
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5

Handwriting identification using random forests and score‐b..:

Johnson, Madeline Quinn ; Ommen, Danica M.
Statistical Analysis and Data Mining: The ASA Data Science Journal.  15 (2021)  3 - p. 357-375 , 2021
Link: https://doi.org/10.1002/..
 
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6

Elucidating the relationships between two automated handwri..:

Fuglsby, Cami ; Saunders, Christopher ; Ommen, Danica M...
Journal of Forensic Sciences.  67 (2021)  2 - p. 642-650 , 2021
Link: https://doi.org/10.1111/..
 
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7

Characterization and differentiation of aluminum powders us..:

Ommen, Danica M. ; Baldaino, JenaMarie ; Saunders, Christopher P...
Journal of Forensic Sciences.  67 (2021)  2 - p. 505-515 , 2021
Link: https://doi.org/10.1111/..
 
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8

Characterization and differentiation of aluminum powders us..:

Baldaino, JenaMarie ; Ommen, Danica M. ; Saunders, Christopher P...
Journal of Forensic Sciences.  66 (2020)  1 - p. 83-95 , 2020
Link: https://doi.org/10.1111/..
 
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9

Use of an Automated System to Evaluate Feature Dissimilarit..:

Fuglsby, Cami ; Saunders, Christopher ; Ommen, Danica M..
Journal of Forensic Sciences.  65 (2020)  6 - p. 2080-2086 , 2020
Link: https://doi.org/10.1111/..
 
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10

Building a unified statistical framework for the forensic i..:

Ommen, Danica M ; Saunders, Christopher P
Law, Probability and Risk.  17 (2018)  2 - p. 179-197 , 2018
Link: https://doi.org/10.1093/..
 
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11

The characterization of Monte Carlo errors for the quantifi..:

Ommen, Danica M. ; Saunders, Christopher P. ; Neumann, Cedric
Journal of Statistical Computation and Simulation.  87 (2017)  8 - p. 1608-1643 , 2017
Link: https://doi.org/10.1080/..
 
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12

An argument against presenting interval quantifications as ..:

Ommen, Danica M. ; Saunders, Christopher P. ; Neumann, Cedric
Science & Justice.  56 (2016)  5 - p. 383-387 , 2016
Link: https://doi.org/10.1016/..
 
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13

Generalized fiducial factor: an alternative to the Bayes fa..:

Williams, Jonathan P ; Ommen, Danica M ; Hannig, Jan
http://arxiv.org/abs/2012.05936.  , 2020
Link: http://arxiv.org/abs/201..
 
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14

Reconciling the Bayes Factor and Likelihood Ratio for Two N..:

Ommen, Danica M ; Saunders, Christopher P
http://arxiv.org/abs/1901.09798.  , 2019
Link: http://arxiv.org/abs/190..
 
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15

A Note on the Specific Source Identification Problem in For..:

Ommen, Danica M ; Saunders, Christopher P ; Neumann, Cedric
http://arxiv.org/abs/1503.08234.  , 2015
Link: http://arxiv.org/abs/150..
 
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