How to handle small samples: Bootstrap and bayesian methods in the analysis of linguistic change

Literary and Linguistic Computing

Volumn 22, Issue 2, 2007, Pages 137-150

  Hinneburg, Alexander ^a   Mannila, Heikki ^b   Kaislaniemi, Samuli ^b   Nevalainen, Terttu ^b   Raumolin Brunberg, Helena ^b  

^a MARTIN LUTHER UNIVERSITY HALLE WITTENBERG   (Germany)

^b UNIVERSITY OF HELSINKI   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 34447640018     PISSN: 02681145     EISSN: 14774615     Source Type: Journal    
DOI: 10.1093/llc/fqm006     Document Type: Article

References (22)

1. Brooks, S. P. (1988). Markov chain Monte Carlo and its applications. Statistician, 47: 69-100.
2. Bernardo, J. and Smith, A. (1994). Bayesian Theory. New York, NY: John Wiley Inc.
3. Clement, R. and Sharp, D. (2003). Ngram and Bayesian classification of documents for topic and authorship. Literary and Linguistic Computing, 18: 423-47.
4. Collins, J., Kaufer, D., Vlachos, P., Butler, B. and Ishizaki, S. (2004). Detecting collaborations in text comparing the authors' rhetorical language choices in the Federalist Papers. Computers and the Humanities, 38: 15-36.
5. Corpus of Early English Correspondence (CEEC). (1998). Compiled by Nevalainen, T., Raumolin-Brunberg, H., Keränen, J., Nevala, M., Nurmi, A., Palander-Collin, M. University of Helsinki.
6. Efron, B. and Tibshirani, B. (1993). An Introduction to the Bootstrap. London: Chapman and Hall.
7. Efron, B and Gong, B. (1983). A leisurely look at the bootstrap, the jackknife, and cross-validation. The American Statistician, 37: 36-48.
8. Eisner, J. (2002). Discovering syntactic deep structure via Bayesian statistics. Cognitive Science, 26(3): 255-68.
9. Gamerman, D. (1997). Markov Chain Monte Carlo. Stochastic Simulation for Bayesian Inference. Texts in Statistical Science. London: Chapman and Hall.
10. Gelman, A., Carlin, J. B., Stern, H. S. and Rubin, D. B. (2004). Bayesian Data Analysis, 2nd edn. New York: Chapman and Hall.
11. Gilks, W., Richardson, S., and Spiegelhalter, D. (eds) (1996). Markov Chain Monte Carlo in Practice. London: Chapman and Hall.
12. Helsinki Corpus of English Texts (HC). (1991). Compiled by the Helsinki Corpus project team at the Department of English, University of Helsinki.
13. Labov, W. (1972). Sociolinguistic Patterns. Philadelphia: University of Pennsylvania Press.
14. Labov, W. (1994). Principles of Linguistic Change. Volume 1: Internal Factors. Oxford, UK and Cambridge, USA: Blackwell.
15. Lunn, D. J., Thomas, A., Best, N. G. and Spiegelhalter, D. J. (2000). Win-BUGS - a Bayesian modelling framework: Concepts, structure and extensibility. Statistics and Computing, 5(6): 321-33.
16. Lutz, A. (1998). The, Interplay of External and Internal Factors in Morphological Restructuring: The Case of you. In Fisiak, J. and Krygier, M. (eds), Advances in English Historical Linguistics (1996 Berlin and New York: Mouton de Gruyter, pp. 189-210.
17. Nevalainen, T. and Raumolin-Brunberg, H. (2003) Historical Sociolinguistics: Language Change in Tudor and Stuart England. London: Pearson Education.
18. Mosteller, F. and Wallace, D. (1984). Applied Bayesian and Classical Inference: The Case of the Federalist Papers. MA: Addison-Wesley.
19. Ogura, M. and Wang, W. S.-Y. (1996). Snowball Effect in Lexical Diffusion: The Development of -s in the Third Person Singular Present indicative in English. In Britton, D. (ed.), English Historical Linguistics 1994: Papers from the 8th International Conference on English Historical Linguistics. Amsterdam: Benjamins, pp. 119-41.
20. Raumolin-Brunberg, H. (2005). The diffusion of YOU: A case study in historical sociolinguistics. Language Variation and Change, 17(1): 55-73.
21. Spencer, M., Bordalejo, B., Robinson, P. and Howe, C. J. (2003). How reliable is a stemma? An analysis of Chaucer's Miller's Tale. Literary and Linguistic Computing, 18(4): 407-22.
22. Zoubir, A. M. and Boashash, B. (1998). The bootstrap and its application in signal processing. IEEE Signal Processing Magazine, 15: 56-76.