Background studies prepared by state committees for the White House Conference on Aging. A report by the Subcommittee on Problems of the Aged and Aging to the Committee on Labor and Public Welfare, United States Senate.

Mode of access: Internet.

An invitation to industry from your State Vending Stand Program for the blind and the Office of Vocational Rehabilitation, U.S. Department of Health, Education, and Welfare.

Mode of access: Internet.

Organization and activities of the state of West Virginia Department of public welfare, July 1, 1931 to January 1, 1933. And of the state of West Virginia Unemployment relief administration, August 19, 1932 to January 1, 1933.

Double table numbered as on page (p.90)

Annual report to [the] State Board of Public Welfare /

WI docs no.: Chi 2.1:1957-1967

Meeting of State Board of Public Welfare, Division of Child Welfare.

"April 25, 1946."

Parents and their problems; child welfare in home, school, church and state,

Contains bibliographies.

Pensions and other employee welfare plans; a survey of funds held by state and national banks in New York State.

Mimeographed.

A study dealing with the extent and effects of the injunction in labor disputes in certain areas in New York State, submitted to U. S. Senate, Committee on Labor and Public Welfare.

Mode of access: Internet.

Health and welfare benefits in New York State, June 1954.

Mode of access: Internet.

Population crisis : hearings ... Eighty-ninth Congress, first session, on S. 1676, bill to reorganize the Department of State and the Department of Health, Education, and Welfare.

Pt. 4, Appendix; pt. 5, Index--1965.

Unemployment and relief in Michigan. First report of the State Emergency Welfare Relief Commission.

Compiled and edited by Paul L. Stanchfield.

State Social Safety Net Programs and the Great Recession: The First Line of Defense and the Last Resort for the Economically Disadvantaged

Thesis (Ph.D.)--University of Washington, 2016-06

Modelling financial time series with switching state space models

The deficiencies of stationary models applied to financial time series are well documented. A special form of non-stationarity, where the underlying generator switches between (approximately) stationary regimes, seems particularly appropriate for financial markets. We use a dynamic switching (modelled by a hidden Markov model) combined with a linear dynamical system in a hybrid switching state space model (SSSM) and discuss the practical details of training such models with a variational EM algorithm due to [Ghahramani and Hilton,1998]. The performance of the SSSM is evaluated on several financial data sets and it is shown to improve on a number of existing benchmark methods.