A point process driven multiple change point model: A robust resistant approach

Mathematical Biosciences

Volumn 220, Issue 1, 2009, Pages 57-71

  Arunajadai, Srikesh G ^a  

^a New York Presbyterian Morgan Stanley Children's Hospital   (United States)

Author keywords

Change point; Point process; RNA unwinding; Robust

Indexed keywords

CELLULAR FUNCTION; CHANGE POINT; DISCRETE STEP; HELICASE; HELICASES; MAXIMUM LIKELIHOOD APPROACHES; MOTOR PROTEINS; POINT PROCESS; POSTERIORI; RIBONUCLEIC ACID; RNA UNWINDING; ROBUST;

MAXIMUM LIKELIHOOD; NUCLEIC ACIDS; PROTEINS;

RNA;

HELICASE; MOLECULAR MOTOR; MONTIRELIN; RNA;

CYTOLOGY; METABOLISM; MODELING; RNA;

ALGORITHM; ARTICLE; CHANGE POINT MODEL; HYPOTHESIS; MATHEMATICAL MODEL; MATHEMATICAL PARAMETERS; MAXIMUM LIKELIHOOD METHOD; METHODOLOGY; MOLECULAR MECHANICS; PARAMETER; PROTEIN FUNCTION; SIMULATION; STATISTICAL ANALYSIS;

ADENOSINE TRIPHOSPHATE; ALGORITHMS; COMPUTER SIMULATION; KINETICS; LIKELIHOOD FUNCTIONS; MODELS, CHEMICAL; MODELS, STATISTICAL; NUCLEIC ACID CONFORMATION; RNA; RNA HELICASES; VIRAL NONSTRUCTURAL PROTEINS;

EID: 66049088252     PISSN: 00255564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mbs.2009.04.003     Document Type: Article

References (22)

1. Dumont S., Cheng W., Serebov V., Beran R.K., Tinoco Jr. I., Pyle A.M., and Bustamante C. RNA translocation and unwinding mechanism of HCV NS3 helicase and its coordination by ATP. Nature 439 5 (2006) 105
2. R Development Core Team, R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0, 2008. Available from: .
3. Bustamante C., Marko J., Siggia E., and Smith S. Entropic elasticity of lambda-phage DNA. Science 265 5178 (1994) 1599
4. Myong S., Bruno M.M., Pyle A.M., and Ha T. Spring-loaded mechanism of DNA unwinding by hepatitis C virus NS3 helicase. Science 317 5837 (2007) 513 10.1126/science.114413
5. Page E. A test for a change in a parameter occurring at an unknown point. Biometrika 42 (1955) 523
6. Page E. On problem in which change in parameter occurs at unknown points. Biometrika 44 (1957) 248
7. Chernoff H., and Zacks S. Estimating the current mean of the normal distribution which is subject to changes in time. Ann. Math. Stat. 35 (1964) 999
8. Gardner L. On detecting change in the mean of normal variates. Ann. Math. Stat. 40 (1969) 116
9. Sen A., and Srivastava M. Some one-sided tests on change in mean level. Technometrics 17 (1975) 61
10. Hinkley D. Inference about the change-point in a sequence of random variables. Biometrika 57 1 (1970) 1
11. Hinkley D. Inference about the change-point from cumulative sum tests. Biometrika 58 3 (1971) 509
12. Siegmund D., and Venkatraman E. Using the generalized likelihood ratio statistic for sequential detection of change point. Ann. Stat. 23 1 (1995) 255
13. Chen J., and Gupta A. Parametric Statistical Change Point Model (2000), Birkhäuser, Basel
14. Brodsky B., and Darkhovsky B. Nonparametric Methods in Change-Point Problems vol. 243 (1993), Kluwer Academic Publishers, Dordrecht
15. Cox D., and Lewis P. The Statistical Analysis of a Series of Events (1966), Methuen & Co. Ltd., London
16. Cox D., and Isham V. Point Processes (1980), Chapman and Hall, London
17. Brillinger D.R. Comparative aspects of the study of ordinary time series and of point processes. In: Krishnaiah P. (Ed). Development in Statistics vol. 1 (1978), Academic Press, New York
18. Marazzi A. Algorithms Routines and S Functions for Robust Statistics (1993), Wadsworth & Brooks/Cole, Belmont, CA
19. Hoaglin D.C., Mosteller F., and Tukey J.W. Understanding Robust Exploratory Data Analysis (1983), Wiley, New York
20. Hampel F.R., Ronchetti E.M., Rousseeuw P.J., and Stahel W.A. Robust Statistics: The Approach Based on Influence Functions (1986), Wiley, New York
21. Gradshteyn I., and Ryzhik I. Table of Integrals: Series and Products (2007), Elsevier, Amsterdam
22. Buchholz H. The Confluent Hypergeometric Function (1969), Springer, Berlin