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Adele Cutler Ph.D.

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Mathematics and Statistics

Professor

Professor

Contact Information

Office Location: Animal Science (ANSC) 302
DialPhone: (435) 797-2761
SendEmail: adele.cutler@usu.edu


Educational Background

PhD, Statistics, U.C. Berkeley, 1988
MS, Statistics, U.C. Berkeley, 1984
Other, Mathematics, Auckland University, 1983
Waikato University, 1979

Biography

I was born in England and grew up in New Zealand. My undergraduate degree is from the University of Auckland and my PhD is from UC Berkeley. My husband and I have 3 children born in 1994, 1996, 1998.


Teaching Interests

Introductory statistics for quantitative literacy. Multivariate analysis and statistical learning. Introduction to R and Advanced R.

Research Interests

Data science, statistical learning, data mining, statistical computing, Random Forests, Archetypal Analysis.

Awards

Research Catalyst Award, 2009

Utah State University

College of Science Teacher of the Year, 1998

USU College of Science

Research Award, 1998

USU Department of Mathematics and Statistics

Teacher of the Year, 1998

USU Department of Mathematics and Statistics

Publications - Abstracts

  • Wengreen, H., Corcoran, C.D, Cutler, A., Munger, R.G, Quach, A., Tschanz, J.T, Ward, R.E, (2012). Erythrocyte omega-3 fatty acid concentrations and cognitive function: The Cache County Study on Memory and Aging. Alzheimer’s & Dementia *
  • Wengreen, H., Quach, A., Cutler, A., Munger, R.G, Corcoran, C.D, (2012). Whole-grain intake and risk of all-cause mortality among elderly men and women: the Cache, County Study on Memory, Health and Aging. The FASEB Journal *

Publications - Books & Book Chapters

    Books

    Book Chapters

  • Cutler, A., Cutler, D., Stevens, J.R, (2012). Random Forests: Ensemble Machine Learning, Methods and Applications. Springer
  • Cutler, A., Cutler, D., Stevens, J.R, (2012). Random Forests: Ensemble Machine Learning, Methods and Applications. Springer
  • Cutler, A., Cutler, D., Stevens, J.R, (2009). Tree Based Methods: High-Dimensional Data Analysis in Oncology, Applied Bioinformatics and Biostatistics in Cancer Research. Springer
  • Cutler, A., Cutler, D., Stevens, J.R, (2009). Tree Based Methods: High-Dimensional Data Analysis in Oncology, Applied Bioinformatics and Biostatistics in Cancer Research. Springer
  • Stevens, J.R, Cutler, A., (2006). Random Forests for Microarrays: DNA Microarrays, Part B: Databases and Statistics, (Methods in Enzymology). Academic Press
  • Cutler, A., Corcoran, C.D, Toone, L., (2005). Bagging: Encyclopedia of Statistics in Behavioral Science. Wiley & Sons *
  • Cutler, A., (2005). Random Forests. Encyclopedia of Statistics in Behavioral Science

* Has not been peer reviewed

Publications - Fact Sheets

    * Has not been peer reviewed

    Publications - Curriculum

      * Has not been peer reviewed

      Publications - Journal Articles

        Academic Journal

      • Zaman, T., Kulyukin, V.A, Cutler, A., (2016). Text Skew Detection in Printed Text Images Relying on 2D Haar Wavelets. Journal of Graphics, Vision and Image Processing (GVIP), 16:1, 41-50.
      • Wengreen, H., Munger, R.G, Cutler, A., Quach, A., Bowles, A., Corcoran, C.D, Tschanz, J.T, Norton, M.C, Welsh-Bohmer, K., (2013). Prospective study of dietary approaches to stop hypertension- and mediterranean-style dietary patterns and age-related cognitive change: The Cache County Study on Memory, Health and Aging. American Journal of Clinical Nutrition, 98:5, 1263-1271. doi: 10.3945/ajcn.112.051276
      • Cutler, A., (2010). Remembering Leo Breiman. Annals of Applied Statistics, 4:4, 1621–1633.
      • Goldstein, B.A, Hubbard, A.E, Cutler, A., Barcellos, L.F, (2010). An application of Random Forests to a genome-wide association dataset: methodological considerations & new findings. BMC genetics, 11:1, 49.
      • Cutler, D., Edwards, T.C, Beard, K.H, Cutler, A., Hess, K.T, Gibson, J., Lawler, J.J, (2007). Random Forests for Classification in Ecology. Ecology, 88:11, 2783-2792.
      • Cutler, D., Edwards, T.C, Beard, K.H, Cutler, A., Hess, K.T, Gibson, J., Lawler, J.J, (2007). Random Forests for Classification in Ecology. Ecology, 88:11, 2783-2792.
      • Torres, A.R, Sweeten, T.L, Cutler, A., Bedke, B.J, Fillmore, M., Stubbs, E.G, Odell, D., (2006). The association and linkage of the HLA-A2 class I allele with autism. Human Immunology, 67:4-5, 346-351.
      • Odell, D., Maciulis, A., Cutler, A., Warren, L., McMahon, W., Coon, H., Stubbs, G., Henley, K., Torres, A., (2005). Confirmation of the Association of the C4B Null Allele in Autism. Human Immunology, 66:2, 140-145.
      • Truong, Y., Lin, X., Beecher, C., Cutler, A., Young, S., (2004). Learning a complex metabolomic dataset using random forests and support vector machines. Knowledge Discovery and Data Mining
      • Xie, Y., Chou, L., Cutler, A., Weimer, B., (2004). Expression profiling Lactococcus lactis ssp. lactis IL1403 during environmental stresses with DNA macroarray. Applied and Environmental Microbiology, 70:11, 6738-6747.
      • Cutler, D., Brown, L., Powell, J.A, Bentz, B., Cutler, A., (2003). Identifying ‘Redtops’: Classification of Satellite Imagery for Tracking Mountain Pine Beetle Progression through a Pine Forest. Computing Science and Statistics, 35, 711–728.
      • Cutler, D., Brown, L., Powell, J.A, Bentz, B., Cutler, A., (2003). Identifying ‘Redtops’: Classification of Satellite Imagery for Tracking Mountain Pine Beetle Progression through a Pine Forest. Computing Science and Statistics, 35, 711–728.
      • Xie, Y., Cutler, A., Weimer, B., Parfionovas, A., (2003). Statisical Methods for Spot Detection with Macroarray Data. Computing Science and Statistics, 35, 490–505.
      • Torres, A.R, Maciulis, A., Stubbs, E.G, Lainhart, J., Cutler, A., Odell, J.D, (2002). The Transmission Disequilibrium Test suggests that HLA-DR4 is linked in Autism Spectrum Disorder. Human Immunology, 63:4, 311–316.
      • Cutler, A., Zhao, G., (2001). PERT – Perfect Random Tree Ensembles. Computing Science and Statistics, 33, 490-497.
      • Cutler, D., Cutler, A., (2000). Minimum Hellinger Distance Estimation for the Beta Distribution. Communications in Statistics, 29:7, 1487-1509.
      • Cutler, D., Cutler, A., (2000). Minimum Hellinger Distance Estimation for the Beta Distribution. Communications in Statistics, 29:7, 1487-1509.
      • Stone, E., Cutler, A., (1996). Archetypal analysis of spatio-temporal dynamics. Physica D, 90, 209-224.
      • Stone, E., Cutler, A., (1996). Introduction to archetypal analysis of spatio-temporal dynamics. Physica D, 96, 110-131.
      • Cutler, A., Cordero–Brana, O., (1996). Minimum Hellinger Distance Estimation for Finite Mixture Models. Journal of the American Statistical Association, 91:436, 1716-1723.
      • Cutler, A., Baritompa, W., (1994). Accelerations for Global Optimization Covering Methods Using Second Derivatives. The Journal of Global Optimiza- tion, 4, 329-341.
      • Cutler, A., Breiman, L., (1994). Archetypal analysis. Technometrics, 36:4, 338-347.
      • Cutler, A., (1993). A branch and bound algorithm for constrained least squares. Com- munications in Statistics - Simulation and Computation, 22:2, 305-321.
      • Cutler, A., Breiman, L., (1993). A deterministic algorithm for global optimization. Mathematical Programming, 58:2, 179-199.
      • Whindham, M., Cutler, A., (1992). Information Ratios for Validating Mixture Analysis. Am. Statistical Assoc, 87, 1–188.

      * Has not been peer reviewed

      Publications - Literary Journal

        * Has not been peer reviewed

        Publications - MultiMedia

          * Has not been peer reviewed

          Publications - Technical Reports

            Other Reports

          • Moisen, G.G, Cutler, D., Cutler, A., (1990). Maximum Likelihood Estimation for Heteroscedastic Linear Models. Utah State University Department of Mathematics and Statistics Technical Report Series
          • Moisen, G.G, Cutler, D., Cutler, A., (1990). Maximum Likelihood Estimation for Heteroscedastic Linear Models. Utah State University Department of Mathematics and Statistics Technical Report Series

          * Has not been peer reviewed

          Publications - Translations & Transcripts

            Publications - Other

              Magazine/Trade Publication

            • Cutler, D., Grange, E.V, Hampton, V.L, Cutler, A., Langdon, T.P, Ryan, M.T, (2005). Analysis of Factors Relating to Success on the CFP Certification Examination. Financial Services Review
            • Cutler, D., Grange, E.V, Hampton, V.L, Cutler, A., Langdon, T.P, Ryan, M.T, (2005). Analysis of Factors Relating to Success on the CFP Certification Examination. Financial Services Review
            • Other

            * Has not been peer reviewed

            Scheduled Teaching

            STAT 5810, 6910 - Seminar in Statistics, Spring 2017

            STAT 6910 - Seminar in Statistics, Spring 2017

            STAT 6950 - Directed Reading and Conference, Fall 2016

            STAT 5100 - Linear Regression and Time Series, Fall 2016

            STAT 5100 - Linear Regression and Time Series, Fall 2016

            STAT 5820, 6910 - Seminar in Statistics, Fall 2016

            STAT 5810 - Topics in Statistics, Fall 2016

            STAT 5940 - Directed Reading and Conference, Summer 2016

            STAT 1045 - Introduction to Statistics with Elements with Algebra (QL), Spring 2016

            STAT 6910 - Seminar in Statistics, Spring 2016

            STAT 6910 - Seminar in Statistics, Spring 2016

            STAT 6910 - Seminar in Statistics, Spring 2016

            STAT 5810 - Topics in Statistics, Fall 2015

            STAT 5820, 6910 - Topics in Statistics, Fall 2015

            STAT 6910 - Seminar in Statistics, Spring 2015

            STAT 6910 - Seminar in Statistics, Spring 2015

            STAT 5820 - Topics in Statistics, Spring 2015

            STAT 5810 - Topics in Statistics, Fall 2014

            STAT 5820 - Topics in Statistics, Fall 2014

            STAT 1040 - Introduction to Statistics, Spring 2014

            STAT 6910 - Seminar in Statistics, Spring 2014

            STAT 6650 - Stat Learning: Multivariate Stat Analysis for Bioinformatics, Data Mining, and Machine Learning, Fall 2013

            STAT 5810 - Topics in Statistics, Fall 2013

            STAT 7810 - Topics in Statistics (Topic), Fall 2013

            STAT 6550,7810 - Statistical Computing, Spring 2013

            STAT 1040 - Introduction to Statistics, Fall 2012

            STAT 5810 - Topics in Statistics, Fall 2012

            STAT 6810 - Topics in Statistics (Topic), Fall 2012

            STAT 6810 - Topics in Statistics (Topic), Fall 2012

            MATH 7990 - Continuing Graduate Advisement, Summer 2012

            MATH 6910 - Directed Reading and Conference, Summer 2012

            MATH 7970 - Dissertation Research, Summer 2012

            STAT 6970 - Thesis and Research, Summer 2012

            STAT 6650,7820 - Stat Learning: Multivariate Stat Analysis for Bioinformatics, Data Mining, and Machine Learning, Spring 2012

            stat 1040 - Intro to statistics (QL), Fall 2011


            Graduate Students Mentored

            Breckell Soifua, Mathematics & Statistics, September 2016
            Joshua Young, Mathematics & Statistics, August 2015
            Anna Quach, Mathematics & Statistics, August 2012
            Willis Barton, Mathematics & Statistics, August 2014 - December 2016
            Jenny Clements, Mathematics & Statistics, May 2015 - March 2016
            Chunyang Li, Mathematics & Statistics, August 2011 - May 2013
            Anna Quach, Mathematics & Statistics, August 2010 - May 2012
            Rong Xia, Mathematics & Statistics 2009
            Andrejus Parfionovas, 2009
            Guohua Zhao, Mathematics & Statistics, August 1996 - May 2000
            Olga Cordero–Brana, Mathematics & Statistics, August 1989 - May 1994