Application of Hidden Markov Models In Detecting Regime Changes In Bitcoin Markets / (Record no. 15948)

000 -LEADER
fixed length control field 00643nam a22001817a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260311141029.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260311b ||||| |||| 00| 0 eng d
037 ## - SOURCE OF ACQUISITION
Source of stock number/acquisition Donation
040 ## - CATALOGING SOURCE
Original cataloging agency OCLC
Transcribing agency MMU
Modifying agency Daniel
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number THE HA1107.5
Item number .M33 2025
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Wanjara, M.E.
245 ## - TITLE STATEMENT
Title Application of Hidden Markov Models In Detecting Regime Changes In Bitcoin Markets /
Statement of responsibility, etc. Machimbo Elijah Wanjara
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Nairobi, Kenya:
Name of publisher, distributor, etc. MMU
Date of publication, distribution, etc. 2025
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 124 pages:
Other physical details illustrations;
Dimensions 30 cm
500 ## - GENERAL NOTE
General note Includes bibliographical references
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Thesis
Classification part THE HA1107.5
Call number prefix .M33
Call number suffix 2025

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