-
2
-
-
78650966409
-
New Eurocoin: tracking economic growth in real time
-
Altissimo F, Cristadoro R, Forni M, Lippi M, Veronese G (2010) New Eurocoin: tracking economic growth in real time. Rev Econ Stat 92(4):1024–1034 DOI: 10.1162/REST_a_00045
-
(2010)
Rev Econ Stat
, vol.92
, Issue.4
, pp. 1024-1034
-
-
Altissimo, F.1
Cristadoro, R.2
Forni, M.3
Lippi, M.4
Veronese, G.5
-
3
-
-
84896033097
-
Accidental, open and everywhere: emerging data sources for the understanding of cities
-
Arribas-Bel D (2014) Accidental, open and everywhere: emerging data sources for the understanding of cities. Appl Geogr 49:45–53 DOI: 10.1016/j.apgeog.2013.09.012
-
(2014)
Appl Geogr
, vol.49
, pp. 45-53
-
-
Arribas-Bel, D.1
-
4
-
-
85094200516
-
-
Accessed 16 May 2013
-
Bacon T (2013) Big bang? When ‘Big Data’ gets too Big. http://www.eyefortravel.com/mobile-and-technology/big-bang-when-%E2%80%98big-data%E2%80%99-gets-too-big. Accessed 16 May 2013
-
(2013)
Big Bang? When ‘Big Data’ Gets Too Big
-
-
Bacon, T.1
-
6
-
-
74349112824
-
Large bayesian vector autoregressions
-
Bańbura M, Giannone D, Reichlin L (2010) Large bayesian vector autoregressions. J Appl Econom 25(1):71–92 DOI: 10.1002/jae.1137
-
(2010)
J Appl Econom
, vol.25
, Issue.1
, pp. 71-92
-
-
Bańbura, M.1
Giannone, D.2
Reichlin, L.3
-
7
-
-
84892845697
-
Maximum likelihood sstimation of factor models on datasets with arbitrary pattern of missing data
-
Bańbura M, Modugno M (2014) Maximum likelihood sstimation of factor models on datasets with arbitrary pattern of missing data. J Appl Econom 29(1):133–160 DOI: 10.1002/jae.2306
-
(2014)
J Appl Econom
, vol.29
, Issue.1
, pp. 133-160
-
-
Bańbura, M.1
Modugno, M.2
-
8
-
-
84901838181
-
Forecasting with factor-augmented error correction models
-
in Press
-
Banerjee A, Marcellino M, Masten I (2013) Forecasting with factor-augmented error correction models. Int J Forecast (in Press)
-
(2013)
Int J Forecast
-
-
Banerjee, A.1
Marcellino, M.2
Masten, I.3
-
9
-
-
15544377383
-
Measuring the effects of monetary policy: a factor-augmented vector autoregressive approach
-
Bernanke B, Boivin J, Eliasz PS (2005) Measuring the effects of monetary policy: a factor-augmented vector autoregressive approach. Quart J Econ 120(1):387–422
-
(2005)
Quart J Econ
, vol.120
, Issue.1
, pp. 387-422
-
-
Bernanke, B.1
Boivin, J.2
Eliasz, P.S.3
-
13
-
-
85042767311
-
Macroeconomic forecasting using dynamic factor models
-
Bordoloi S, Biswas D, Singh S, Manna UK, Saggar S (2010) Macroeconomic forecasting using dynamic factor models. Reserv Bank India Occas Pap 31(2):69–83
-
(2010)
Reserv Bank India Occas Pap
, vol.31
, Issue.2
, pp. 69-83
-
-
Bordoloi, S.1
Biswas, D.2
Singh, S.3
Manna, U.K.4
Saggar, S.5
-
14
-
-
84861696231
-
International production and dissemination information: results, methodological issues, and statistical perspectives
-
Bounie D (2012) International production and dissemination information: results, methodological issues, and statistical perspectives. Int J Commun 6:1001–1021
-
(2012)
Int J Commun
, vol.6
, pp. 1001-1021
-
-
Bounie, D.1
-
15
-
-
84861974217
-
Critical questions for big data
-
Boyd D, Crawford K (2012) Critical questions for big data. Inf Commun Soc 15(5):662–679 DOI: 10.1080/1369118X.2012.678878
-
(2012)
Inf Commun Soc
, vol.15
, Issue.5
, pp. 662-679
-
-
Boyd, D.1
Crawford, K.2
-
16
-
-
83455179027
-
Are you ready for the era of ‘big data’?
-
Guzzo RA, (ed), McKinsey & Company, New York
-
Brown B, Chui M, Manyika J (2011) Are you ready for the era of ‘big data’? In: Guzzo RA (ed) McKinsey quarterly. McKinsey & Company, New York
-
(2011)
McKinsey quarterly
-
-
Brown, B.1
Chui, M.2
Manyika, J.3
-
17
-
-
1442280684
-
Spanish diffusion indexes
-
Camacho M, Sancho I (2003) Spanish diffusion indexes. Span Econ Rev 5(3):173–203 DOI: 10.1007/s10108-003-0062-2
-
(2003)
Span Econ Rev
, vol.5
, Issue.3
, pp. 173-203
-
-
Camacho, M.1
Sancho, I.2
-
19
-
-
84860882664
-
Forecasting government bond yields with large Bayesian vector autoregressions
-
Carriero A, Kapetanios G, Marcellino M (2012b) Forecasting government bond yields with large Bayesian vector autoregressions. J Bank Financ 36(7):2026–2047 DOI: 10.1016/j.jbankfin.2012.03.008
-
(2012)
J Bank Financ
, vol.36
, Issue.7
, pp. 2026-2047
-
-
Carriero, A.1
Kapetanios, G.2
Marcellino, M.3
-
20
-
-
79960442479
-
Forecasting large datasets with Bayesian reduced rank multivariate models
-
Carriero A, Kapetanios G, Marcellino M (2011) Forecasting large datasets with Bayesian reduced rank multivariate models. J Appl Econom 26(5):735–761 DOI: 10.1002/jae.1150
-
(2011)
J Appl Econom
, vol.26
, Issue.5
, pp. 735-761
-
-
Carriero, A.1
Kapetanios, G.2
Marcellino, M.3
-
21
-
-
84862835806
-
Predicting the resent with google trends
-
Choi H, Varian H (2012) Predicting the resent with google trends. Econ Rec 88(s1):2–9 DOI: 10.1111/j.1475-4932.2012.00809.x
-
(2012)
Econ Rec
, vol.88
, Issue.s1
, pp. 2-9
-
-
Choi, H.1
Varian, H.2
-
22
-
-
80051803315
-
Data, data everywhere
-
Accessed 17 Jul 2012
-
Cukier K (2010) Data, data everywhere. The economist. http://www.economist.com/node/15557443. Accessed 17 Jul 2012
-
(2010)
The Economist.
-
-
Cukier, K.1
-
23
-
-
53649093540
-
Forecasting using a large number of predictors: is Bayesian shrinkage a valid alternative to principal components?
-
De Mol C, Giannone D, Reichlin L (2008) Forecasting using a large number of predictors: is Bayesian shrinkage a valid alternative to principal components? J Econom 146(2):318–328 DOI: 10.1016/j.jeconom.2008.08.011
-
(2008)
J Econom
, vol.146
, Issue.2
, pp. 318-328
-
-
De Mol, C.1
Giannone, D.2
Reichlin, L.3
-
24
-
-
84926128091
-
’Big Data’ Dynamic factor models for macroeconomic measurement and forecasting
-
Dewatripont M, Hansen LP, Turnovsky S, (eds), Cambridge University Press, Cambridge
-
Diebold FX (2003) ’Big Data’ Dynamic factor models for macroeconomic measurement and forecasting. In: Dewatripont M, Hansen LP, Turnovsky S (eds) Advances in economics and econometrics, eighth world congress of the econometric society. Cambridge University Press, Cambridge, pp 115–122
-
(2003)
Advances in economics and econometrics, eighth world congress of the econometric society
, pp. 115-122
-
-
Diebold, F.X.1
-
25
-
-
84871575482
-
A quasi-maximum likelihood approach for large, approximate dynamic factor models
-
Doz C, Giannone D, Reichlin L (2012) A quasi-maximum likelihood approach for large, approximate dynamic factor models. Rev Econ Stat 99(4):1014–1024 DOI: 10.1162/REST_a_00225
-
(2012)
Rev Econ Stat
, vol.99
, Issue.4
, pp. 1014-1024
-
-
Doz, C.1
Giannone, D.2
Reichlin, L.3
-
26
-
-
84929361819
-
What is big data?
-
Accessed 11 Jan 2012
-
Dumbill E (2012) What is big data? An introduction to the big data landscape. http://strata.oreilly.com/2012/01/what-is-big-data.html. Accessed 11 Jan 2012
-
(2012)
An Introduction to the Big Data Landscape
-
-
Dumbill, E.1
-
27
-
-
84868100794
-
-
Accessed 16 Feb 2012
-
Duhigg C (2012) How companies learn your secrets. http://www.nytimes.com/2012/02/19/magazine/shopping-habits.html. Accessed 16 Feb 2012
-
(2012)
How Companies Learn Your Secrets
-
-
Duhigg, C.1
-
30
-
-
0035998182
-
Dynamic conditional correlation: a simple class of multivariate generalized autoregressive conditional heteroskedasticity models
-
Engle RF (2002) Dynamic conditional correlation: a simple class of multivariate generalized autoregressive conditional heteroskedasticity models. J Bus Econ Stat 20(3):339–350 DOI: 10.1198/073500102288618487
-
(2002)
J Bus Econ Stat
, vol.20
, Issue.3
, pp. 339-350
-
-
Engle, R.F.1
-
31
-
-
84974122247
-
Multivariate simultaneous GARCH
-
Engle RF, Kroner K (1995) Multivariate simultaneous GARCH. Econom Theory 11(1):122–150 DOI: 10.1017/S0266466600009063
-
(1995)
Econom Theory
, vol.11
, Issue.1
, pp. 122-150
-
-
Engle, R.F.1
Kroner, K.2
-
33
-
-
84881366048
-
Forecasting the data cube: A model configuration advisor for multi-dimensional data sets
-
Brisbane, 8–12 April 2013
-
Fischer U, Schildt C, Hartmann C, Lehner W (2013) Forecasting the data cube: A model configuration advisor for multi-dimensional data sets. In: IEEE 29th International conference on data engineering (ICDE), Brisbane, 8–12 April 2013
-
(2013)
IEEE 29Th International Conference on Data Engineering (ICDE)
-
-
Fischer, U.1
Schildt, C.2
Hartmann, C.3
Lehner, W.4
-
34
-
-
0034364595
-
The generalized factor model: identification and estimation
-
Forni M, Hallin M, Lippi M, Reichlin L (2000) The generalized factor model: identification and estimation. Rev Econ Stat 82(4):540–554 DOI: 10.1162/003465300559037
-
(2000)
Rev Econ Stat
, vol.82
, Issue.4
, pp. 540-554
-
-
Forni, M.1
Hallin, M.2
Lippi, M.3
Reichlin, L.4
-
35
-
-
24644522163
-
The generalized dynamic factor model: one-sided estimation and forecasting
-
Forni M, Hallin M, Lippi M, Reichlin L (2005) The generalized dynamic factor model: one-sided estimation and forecasting. J Am Stat Assoc 100(471):830–840 DOI: 10.1198/016214504000002050
-
(2005)
J Am Stat Assoc
, vol.100
, Issue.471
, pp. 830-840
-
-
Forni, M.1
Hallin, M.2
Lippi, M.3
Reichlin, L.4
-
36
-
-
79960216631
-
Calculating economic indexes per household and censal section from official Spanish databases
-
Frutos S, Menasalva E, Montes C, Segovia J (2003) Calculating economic indexes per household and censal section from official Spanish databases. Intellt Data Anal 7(6):603–613
-
(2003)
Intellt Data Anal
, vol.7
, Issue.6
, pp. 603-613
-
-
Frutos, S.1
Menasalva, E.2
Montes, C.3
Segovia, J.4
-
38
-
-
84991756585
-
Census mail list trimming using SAS data mining
-
Washington, DC, 9 May 2009
-
Garber SC (2009) Census mail list trimming using SAS data mining. In: RRD Research Report, Washington, DC, 9 May 2009
-
(2009)
RRD Research Report
-
-
Garber, S.C.1
-
39
-
-
85020573334
-
A brief review of data mining applications in the energy industry
-
Ghodsi M (2014) A brief review of data mining applications in the energy industry. Int J Energy Stat 2(1):49–57
-
(2014)
Int J Energy Stat
, vol.2
, Issue.1
, pp. 49-57
-
-
Ghodsi, M.1
-
42
-
-
84902167151
-
Using large datasets to forecast sectoral unemployment
-
Gupta R, Kabundi A, Miller S, Uwilingiye J (2013) Using large datasets to forecast sectoral unemployment. Stat Methods Appl 23(2):229–264 DOI: 10.1007/s10260-013-0243-6
-
(2013)
Stat Methods Appl
, vol.23
, Issue.2
, pp. 229-264
-
-
Gupta, R.1
Kabundi, A.2
Miller, S.3
Uwilingiye, J.4
-
43
-
-
79960873870
-
Describing and forecasting video access patterns
-
Accessed 10 Nov 2010
-
Gursun G, Crovella M, Matta I (2011) Describing and forecasting video access patterns. In: INFOCOM ’11, Proceedings of the 30th IEEE international conference on computer communications, IEEE, 2011. http://www.cs.bu.edu/techreports/pdf/2010-037-video-access-patterns.pdf. Accessed 10 Nov 2010
-
(2011)
INFOCOM ’11, Proceedings of the 30Th IEEE International Conference on Computer Communications, IEEE, 2011.
-
-
Gursun, G.1
Crovella, M.2
Matta, I.3
-
44
-
-
84968591605
-
-
Accessed 20 Nov 2014
-
Hamm S (2013) How big data can boost weather forecasting. http://readwrite.com/2013/02/28/how-big-data-can-boost-weather-forecasting#awesm=ou64ZEaKe2HtUu. Accessed 20 Nov 2014
-
(2013)
How Big Data Can Boost Weather Forecasting
-
-
Hamm, S.1
-
46
-
-
67649803216
-
Mining the past to determine the future: problems and possibilities
-
Hand DJ (2009) Mining the past to determine the future: problems and possibilities. Int J Forecast 25(3):441–451 DOI: 10.1016/j.ijforecast.2008.09.004
-
(2009)
Int J Forecast
, vol.25
, Issue.3
, pp. 441-451
-
-
Hand, D.J.1
-
47
-
-
58949091426
-
Forecasting European industrial production with singular spectrum analysis
-
Hassani H, Heravi S, Zhigljavsky A (2009) Forecasting European industrial production with singular spectrum analysis. Int J Forecast 25(1):103–118 DOI: 10.1016/j.ijforecast.2008.09.007
-
(2009)
Int J Forecast
, vol.25
, Issue.1
, pp. 103-118
-
-
Hassani, H.1
Heravi, S.2
Zhigljavsky, A.3
-
48
-
-
84893555436
-
Forecasting UK industrial production with multivariate singular spectrum analysis
-
Hassani H, Heravi S, Zhigljavsky A (2013) Forecasting UK industrial production with multivariate singular spectrum analysis. J Forecast 32(5):395–408 DOI: 10.1002/for.2244
-
(2013)
J Forecast
, vol.32
, Issue.5
, pp. 395-408
-
-
Hassani, H.1
Heravi, S.2
Zhigljavsky, A.3
-
49
-
-
84991759885
-
Data mining and official statistics: the past, the present & the future
-
Hassani H, Saporta G, Silva ES (2014) Data mining and official statistics: the past, the present & the future. Big Data 2(1):BD1–BD10 DOI: 10.1089/big.2013.0038
-
(2014)
Big Data
, vol.2
, Issue.1
, pp. BD1-BD10
-
-
Hassani, H.1
Saporta, G.2
Silva, E.S.3
-
50
-
-
84905372214
-
Forecasting US tourist arrivals using optimal singular spectrum analysis
-
Hassani H, Webster A, Silva ES, Heravi H (2015) Forecasting US tourist arrivals using optimal singular spectrum analysis. Tour Manag 46:322–335
-
(2015)
Tour Manag
, vol.46
, pp. 322-335
-
-
Hassani, H.1
Webster, A.2
Silva, E.S.3
Heravi, H.4
-
52
-
-
84925364140
-
Big data: the new challenges in data mining
-
Jadhav DK (2013) Big data: the new challenges in data mining. Int J Innov Res ComputSci & Technol 1(2):39–42
-
(2013)
Int J Innov Res ComputSci & Technol
, vol.1
, Issue.2
, pp. 39-42
-
-
Jadhav, D.K.1
-
54
-
-
62549140553
-
A parametric estimation method for dynamic factor models of large dimensions
-
Kapetanios G, Marcellino M (2009) A parametric estimation method for dynamic factor models of large dimensions. J Time Ser Anal 30(2):208–238 DOI: 10.1111/j.1467-9892.2009.00607.x
-
(2009)
J Time Ser Anal
, vol.30
, Issue.2
, pp. 208-238
-
-
Kapetanios, G.1
Marcellino, M.2
-
56
-
-
84874021974
-
Forecasting with medium and large Bayesian VARs
-
Koop GM (2013) Forecasting with medium and large Bayesian VARs. J Appl Econom 28(2):177–203 DOI: 10.1002/jae.1270
-
(2013)
J Appl Econom
, vol.28
, Issue.2
, pp. 177-203
-
-
Koop, G.M.1
-
57
-
-
84884342263
-
Forecasting regional GDP with factor models: how useful are national and international data?
-
Kopoin A, Moran K, Paré JP (2013) Forecasting regional GDP with factor models: how useful are national and international data? Econ Lett 121(2):267–270 DOI: 10.1016/j.econlet.2013.08.007
-
(2013)
Econ Lett
, vol.121
, Issue.2
, pp. 267-270
-
-
Kopoin, A.1
Moran, K.2
Paré, J.P.3
-
58
-
-
33745822446
-
A survey of knowledge discover and data mining process models
-
Kurgan L, Musilek P (2006) A survey of knowledge discover and data mining process models. Knowl Eng Rev 21(1):1–24 DOI: 10.1017/S0269888906000737
-
(2006)
Knowl Eng Rev
, vol.21
, Issue.1
, pp. 1-24
-
-
Kurgan, L.1
Musilek, P.2
-
60
-
-
84863741148
-
-
Accessed 17 Sep 2012
-
Lohr S (2013) The age of big data. http://www.nytimes.com/2012/02/12/sunday-review/big-datas-impact-in-the-world.html?pagewanted=all&_r=1&. Accessed 17 Sep 2012
-
(2013)
The Age of Big Data
-
-
Lohr, S.1
-
61
-
-
33746152094
-
Boosting for high multivariate responses in high-dimensional linear regression
-
Lutz RW, Buhlmann P (2006) Boosting for high multivariate responses in high-dimensional linear regression. Stat Sin 16:471–494
-
(2006)
Stat Sin
, vol.16
, pp. 471-494
-
-
Lutz, R.W.1
Buhlmann, P.2
-
62
-
-
84860443491
-
From databases to big data
-
Madden S (2012) From databases to big data. IEEE Internet Comput 16(3):4–6 DOI: 10.1109/MIC.2012.50
-
(2012)
IEEE Internet Comput
, vol.16
, Issue.3
, pp. 4-6
-
-
Madden, S.1
-
63
-
-
84864030546
-
Big data: The next frontier for innovation, competition, and productivity
-
Accessed 20 Nov 2014
-
Manyika J, Chui, M, Brown B, Bughin J, Dobbs R, Roxburgh C, Byers AH (2011) Big data: the next frontier for innovation, competition, and productivity. McKinsey Global Institute. http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation. Accessed 20 Nov 2014
-
(2011)
Mckinsey Global Institute.
-
-
Manyika, J.1
Chui, M.2
Brown, B.3
Bughin, J.4
Dobbs, R.5
Roxburgh, C.6
Byers, A.H.7
-
66
-
-
85094200356
-
Modeling NASS survey non-response using classification trees
-
Washington DC, 1 Nov 2010
-
McCarthy J, Jacob T, McCracken A (2010) Modeling NASS survey non-response using classification trees. In: RDD Research Report, Washington DC, 1 Nov 2010
-
(2010)
RDD Research Report
-
-
McCarthy, J.1
Jacob, T.2
McCracken, A.3
-
67
-
-
85015734686
-
Disruptive possibilities: How big data changes everything
-
Available via, Accessed 25 Jul 2012
-
Needham J (2013) Disruptive possibilities: how big data changes everything. O’Reilly media. Available via: http://chimera.labs.oreilly.com/books/1234000000914/index.html. Accessed 25 Jul 2012
-
(2013)
O’Reilly Media.
-
-
Needham, J.1
-
68
-
-
0043007739
-
Neural network imputation applied to the Norwegian 1990 population census data
-
Nordbotten S (1996) Neural network imputation applied to the Norwegian 1990 population census data. J Off Stat 12(4):385–401
-
(1996)
J Off Stat
, vol.12
, Issue.4
, pp. 385-401
-
-
Nordbotten, S.1
-
69
-
-
77955270910
-
Short-term electricity demand and gas price forecasts using wavelet transforms and adaptive models
-
Nguyen HT, Nabney IT (2010) Short-term electricity demand and gas price forecasts using wavelet transforms and adaptive models. Energy 35(9):3674–3685 DOI: 10.1016/j.energy.2010.05.013
-
(2010)
Energy
, vol.35
, Issue.9
, pp. 3674-3685
-
-
Nguyen, H.T.1
Nabney, I.T.2
-
70
-
-
85082800141
-
Forecasting using a large number of predictors: Bayesian model averaging versus principal components regression
-
Accessed 29 May 2013
-
Ouysse R (2013) Forecasting using a large number of predictors: Bayesian model averaging versus principal components regression. Australian School of Business Research Paper, No. 2013ECON04, pp 1–34. http://research.economics.unsw.edu.au/RePEc/papers/2013-04.pdf. Accessed 29 May 2013
-
(2013)
Australian School of Business Research Paper, No. 2013ECON04
, pp. 1-34
-
-
Ouysse, R.1
-
71
-
-
84883694220
-
Bayesian regression mixtures of experts for geo-referenced data
-
Paaß G, Kindermann J (2003) Bayesian regression mixtures of experts for geo-referenced data. Intell Data Anal 7(6):567–582
-
(2003)
Intell Data Anal
, vol.7
, Issue.6
, pp. 567-582
-
-
Paaß, G.1
Kindermann, J.2
-
73
-
-
84916234602
-
-
Accessed 28 Jul 2013
-
Press G (2013) A very short history of big data. http://www.forbes.com/sites/gilpress/2013/05/09/a-very-short-history-of-big-data/2/. Accessed 28 Jul 2013
-
(2013)
A Very Short History of Big Data
-
-
Press, G.1
-
77
-
-
34547509116
-
Forecasting German GDP using alternative factor odels based on large datasets
-
Schumacher C (2007) Forecasting German GDP using alternative factor odels based on large datasets. J Forecast 26(4):271–302 DOI: 10.1002/for.1026
-
(2007)
J Forecast
, vol.26
, Issue.4
, pp. 271-302
-
-
Schumacher, C.1
-
78
-
-
49349105919
-
Real-time forecasting of German GDP based on a large factor model with monthly and quarterly data
-
Schumacher C, Breitung J (2008) Real-time forecasting of German GDP based on a large factor model with monthly and quarterly data. Int J Forecast 24(3):386–398 DOI: 10.1016/j.ijforecast.2008.03.008
-
(2008)
Int J Forecast
, vol.24
, Issue.3
, pp. 386-398
-
-
Schumacher, C.1
Breitung, J.2
-
79
-
-
84930417154
-
Big Data: History, current status, and challenges going forward
-
Shi Y (2014) Big Data: history, current status, and challenges going forward. Bridge 44(4):6–11
-
(2014)
Bridge
, vol.44
, Issue.4
, pp. 6-11
-
-
Shi, Y.1
-
81
-
-
84905383908
-
A combination forecast for energy-related CO2 emissions in the United States
-
Silva ES (2013) A combination forecast for energy-related CO2 emissions in the United States. Int J Energy Stat 1(4):269–279 DOI: 10.1142/S2335680413500191
-
(2013)
Int J Energy Stat
, vol.1
, Issue.4
, pp. 269-279
-
-
Silva, E.S.1
-
82
-
-
84939988930
-
On the use of singular spectrum analysis for forecasting US trade before, during and after the 2008 recession
-
Silva ES, Hassani H (2015) On the use of singular spectrum analysis for forecasting US trade before, during and after the 2008 recession. Int Econ. doi:10.1016/j.inteco.2014.11.003 DOI: 10.1016/j.inteco.2014.11.003
-
(2015)
Int Econ
-
-
Silva, E.S.1
Hassani, H.2
-
83
-
-
84944056205
-
Developing risk management as a competitive capability
-
Silva ES, Wu Y, Ojiako U (2013) Developing risk management as a competitive capability. Strateg Change 22(5–6):281–294 DOI: 10.1002/jsc.1940
-
(2013)
Strateg Change
, vol.22
, Issue.5-6
, pp. 281-294
-
-
Silva, E.S.1
Wu, Y.2
Ojiako, U.3
-
87
-
-
0036970448
-
Forecasting using principal components from a large number of predictors
-
Stock JH, Watson MW (2002) Forecasting using principal components from a large number of predictors. J Am Stat Assoc 97(460):1167–1179 DOI: 10.1198/016214502388618960
-
(2002)
J Am Stat Assoc
, vol.97
, Issue.460
, pp. 1167-1179
-
-
Stock, J.H.1
Watson, M.W.2
-
88
-
-
53649106431
-
Forecasting with many predictors
-
Elliott G, Granger CWJ, Timmermann A, (eds), Elsevier, Amsterdam
-
Stock JH, Watson MW (2006) Forecasting with many predictors. In: Elliott G, Granger CWJ, Timmermann A (eds) Handbook of economic forecasting. Elsevier, Amsterdam, pp 517–554
-
(2006)
Handbook of economic forecasting
, pp. 517-554
-
-
Stock, J.H.1
Watson, M.W.2
-
89
-
-
84860266561
-
Forecasting in dynamic factor models subject to structural instability
-
Hendry David F, Castle J, Shephard N, (eds), Oxford University Press, Oxford
-
Stock JH, Watson MW (2008) Forecasting in dynamic factor models subject to structural instability. In: Hendry David F, Castle J, Shephard N (eds) The methodology and practice of econometrics: a festschrift in honour of professor. Oxford University Press, Oxford, pp 173–205
-
(2008)
The methodology and practice of econometrics: a festschrift in honour of professor
, pp. 173-205
-
-
Stock, J.H.1
Watson, M.W.2
-
90
-
-
85094211123
-
-
Accessed 25 Nov 2013
-
Thornton D (2013) The Problem with Big Data. http://moneyweek.com/arria-nlg-the-problem-with-big-data/. Accessed 25 Nov 2013
-
(2013)
The Problem with Big Data
-
-
Thornton, D.1
-
91
-
-
84927578570
-
-
Accessed 2 Oct 2013
-
Tucker P (2013) The future is not a destination. http://www.slate.com/articles/technology/future_tense/2013/10/futurist_magazine_s_predictions_on_quantum_computing_big_data_and_more.html. Accessed 2 Oct 2013
-
(2013)
The Future is Not a Destination
-
-
Tucker, P.1
-
92
-
-
84903161818
-
Big data: new tricks for econometrics
-
Varian HR (2014) Big data: new tricks for econometrics. J Econ Perspect 28(2):3–28 DOI: 10.1257/jep.28.2.3
-
(2014)
J Econ Perspect
, vol.28
, Issue.2
, pp. 3-28
-
-
Varian, H.R.1
-
93
-
-
85004091464
-
Electricity consumption forecasting in the age of big data
-
Wang X (2013) Electricity consumption forecasting in the age of big data. Telkomnika 11(9):5262–5266
-
(2013)
Telkomnika
, vol.11
, Issue.9
, pp. 5262-5266
-
-
Wang, X.1
-
96
-
-
78650559748
-
Fraudulent behaviour forecast in telecom industry based on data mining technology
-
Wu S, Kang N, Yang L (2007) Fraudulent behaviour forecast in telecom industry based on data mining technology. Commun IIMA 7(4):1–6
-
(2007)
Commun IIMA
, vol.7
, Issue.4
, pp. 1-6
-
-
Wu, S.1
Kang, N.2
Yang, L.3
|