2016 Latent

HarpAcash And The Morals - Lamps (2016)  Music

Posted by Pisulik at Sept. 23, 2016
HarpAcash And The Morals - Lamps (2016)

HarpAcash And The Morals - Lamps (2016)
Folk, Folk Rock | MP3 CBR 320 kbps | 00:41:19 | 101 MB
Label: Latent Recordings | Release Year: 2016

HarpAcash & the Morals are celebrating the release of their upcoming LP, Lamps, by letting audiences stream the entire album a week ahead of schedule. Due out on September 23 via Latent Recordings, Lamps was recorded with Michael Timmins (Cowboy Junkies) at the helm in studio. Lead vocalist HarpAcash, guitarist Todd Jeffrey, and drummer Dan Trickett gathered to record the heartbreaking harmonies, graceful guitars, and the idiosyncratic minimalist percussion that forms the album.

Latent Magazine - Volume One, 2016  Magazines

Posted by koc2005 at Sept. 14, 2016
Latent Magazine - Volume One, 2016

Latent Magazine - Volume One, 2016
English | PDF | 102 Pages | 15.80 MB

Latent Image - Issue 9 2016  Magazines

Posted by Karabas91 at Sept. 14, 2016
Latent Image - Issue 9 2016

Latent Image - Issue 9 2016
English | True PDF | 82 pages | 17 MB

A magazine devoted to film photography and the written word.

Latent Image - Issue 8 2016  Magazines

Posted by Karabas91 at Sept. 14, 2016
Latent Image - Issue 8 2016

Latent Image - Issue 8 2016
English | True PDF | 82 pages | 13 MB

A magazine devoted to film photography and the written word.

Latent Image - Issue 7, 2016  Magazines

Posted by Karabas91 at Jan. 18, 2016
Latent Image - Issue 7, 2016

Latent Image - Issue 7, 2016
English | True PDF | 80 pages | 11 MB

A magazine devoted to film photography and the written word.

Latent GOLD v4.5.0.11347  

Posted by }|{yk at Dec. 26, 2011
Latent GOLD v4.5.0.11347

Latent GOLD v4.5.0.11347 | 13.28 Mb

Latent GOLD 4.5 is a powerful latent class and finite mixture program. Latent GOLD contains separate modules for estimating three different model structures: Latent Class Cluster models; Discrete Factor (DFactor) models; Latent Class Regression models. The Advanced option includes additional advanced features for continuous latent variables (CFactors), multilevel modeling, and survey options for complex sample data.

Latent GOLD v4.5.0.11342  

Posted by Artist14 at Dec. 9, 2011
Latent GOLD v4.5.0.11342

Latent GOLD v4.5.0.11342 | 13.4 MB

Latent GOLD 4.5 is a powerful latent class and finite mixture program. Latent GOLD contains separate modules for estimating three different model structures: Latent Class Cluster models; Discrete Factor (DFactor) models; Latent Class Regression models. The Advanced option includes additional advanced features for continuous latent variables (CFactors), multilevel modeling, and survey options for complex sample data.

Latent GOLD v4.5.0.11319  

Posted by Artist14 at Nov. 16, 2011
Latent GOLD v4.5.0.11319

Latent GOLD v4.5.0.11319 | 13.4 MB

Latent GOLD 4.5 is a powerful latent class and finite mixture program. Latent GOLD contains separate modules for estimating three different model structures: Latent Class Cluster models; Discrete Factor (DFactor) models; Latent Class Regression models. The Advanced option includes additional advanced features for continuous latent variables (CFactors), multilevel modeling, and survey options for complex sample data.

Latent GOLD v4.5.0.11210  

Posted by Artist14 at Aug. 17, 2011
Latent GOLD v4.5.0.11210

Latent GOLD v4.5.0.11210 | 13.9 MB

Latent GOLD 4.5 is a powerful latent class and finite mixture program. Latent GOLD contains separate modules for estimating three different model structures: Latent Class Cluster models; Discrete Factor (DFactor) models; Latent Class Regression models. The Advanced option includes additional advanced features for continuous latent variables (CFactors), multilevel modeling, and survey options for complex sample data.

Il Corriere della Sera Edizioni Locali - 3 Dicembre 2016  Newspapers

Posted by edicolante at Dec. 3, 2016
Il Corriere della Sera Edizioni Locali - 3 Dicembre 2016

Il Corriere della Sera Edizioni Locali - 3 Dicembre 2016
Italian | True PDF | 16 - 24 Pages | 4 - 10 MB