Modelling our changing world
<p style="text-align:justify;"> The evolution of life on Earth—a tale of both slow and abrupt changes over time—emphasizes that change is pervasive and ever present. Change affects all disciplines using observational data, especially time series of observations. When the dates of ev...
| Main Authors: | , |
|---|---|
| Format: | Book |
| Published: |
Palgrave Pivot
2019
|
| _version_ | 1797089369635422208 |
|---|---|
| author | Castle, J Hendry, D |
| author_facet | Castle, J Hendry, D |
| author_sort | Castle, J |
| collection | OXFORD |
| description | <p style="text-align:justify;"> The evolution of life on Earth—a tale of both slow and abrupt changes over time—emphasizes that change is pervasive and ever present. Change affects all disciplines using observational data, especially time series of observations. When the dates of events matter, so data are not ahistorical, they are called non-stationary denoting that some key properties like their means and variances change over time. There are several sources of non-stationarity and they have different implications for modelling and forecasting. This Chapter introduces the structure of our book which will explore how to model such observational data on an everchanging world. </p> |
| first_indexed | 2024-03-07T03:03:09Z |
| format | Book |
| id | oxford-uuid:b1a001ea-3d40-4c76-870b-56e6e7fffcd5 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T03:03:09Z |
| publishDate | 2019 |
| publisher | Palgrave Pivot |
| record_format | dspace |
| spelling | oxford-uuid:b1a001ea-3d40-4c76-870b-56e6e7fffcd52022-03-27T04:05:32ZModelling our changing worldBookhttp://purl.org/coar/resource_type/c_2f33uuid:b1a001ea-3d40-4c76-870b-56e6e7fffcd5Symplectic Elements at OxfordPalgrave Pivot2019Castle, JHendry, D <p style="text-align:justify;"> The evolution of life on Earth—a tale of both slow and abrupt changes over time—emphasizes that change is pervasive and ever present. Change affects all disciplines using observational data, especially time series of observations. When the dates of events matter, so data are not ahistorical, they are called non-stationary denoting that some key properties like their means and variances change over time. There are several sources of non-stationarity and they have different implications for modelling and forecasting. This Chapter introduces the structure of our book which will explore how to model such observational data on an everchanging world. </p> |
| spellingShingle | Castle, J Hendry, D Modelling our changing world |
| title | Modelling our changing world |
| title_full | Modelling our changing world |
| title_fullStr | Modelling our changing world |
| title_full_unstemmed | Modelling our changing world |
| title_short | Modelling our changing world |
| title_sort | modelling our changing world |
| work_keys_str_mv | AT castlej modellingourchangingworld AT hendryd modellingourchangingworld |